84 Humanities jobs in the United States

United Charter High Schools is committed to academic excellence in a welcoming, safe school environment. We develop, enlighten and challenge a range of learners to critically and creatively solve problems inside their classrooms, in their communities and out in the world. Through a rigorously structured system of teaching and learning, students advance their understanding of science, math and humanities concepts and master content, knowledge and skills, while project-based experiences spark their civic imagination and appetite for advocacy leadership.

At any of our 7 charter high schools (Advanced Math and Science / Humanities) across the Bronx, Brooklyn and Queens, students receive personalized academic and social emotional support, have access to a range of clubs, sports teams, leadership opportunities and internships, and maintain a focus on college and career readiness.

Position Summary:

United Charter High Schools (UCHS) provide all students, regardless of their previous academic history, the highest quality education in an atmosphere of respect, responsibility and rigor. We ensure that our students have the skills and knowledge to graduate ready for college, pursue a career, and engage with the 21st century economy. We develop learning experiences that allow risk-taking, cultivate students' imaginative and creative abilities, and celebrate achievement.

Essential Job Functions:

Utilizing leadership, advocacy, and collaboration, School Counselors at UCHS promote student success, provide preventive services, and respond to identified student needs by implementing a comprehensive school counseling program that addresses academic, career, and personal/social development for all students. School counselors will work face-to-face to help students evaluate their abilities and interests. They will help them see their talents and personality characteristics to help them develop academic goals that will lead to sound college/career aims. The school counselor in conjunction with the assistant principal will lead a grade group cohort from 9th-12th grades. School Counselors will:

• Assist in delivering the academic preparation and requisite support for all students to be prepared to succeed in college and career
• Collaborate with families to assist students with educational, career, and life planning
• Accurately and appropriately interpret school data and utilize assessment procedures for determining and structuring individual/group services
• Provide individual and group counseling to students, small groups, or classrooms with identified concerns and needs
• Monitor student academic performance, behavior, and attendance; and facilitate appropriate interventions
• Measure results of the comprehensive school counseling program activities and share results with school personnel and relevant stakeholders
• Complete home visits, assessments, referrals, and counseling with students and families
• Complete written reports as required by Federal, State, and Local agencies or as needed by the Principal
• Make oral presentations of assessments, diagnostics, home visits, and observations
• Conduct professional development workshops on identifying at-risk students
• Develop and maintain family outreach programs such as the Parent Center or Parent University

School Culture

School Counselors also support in-building a school culture that evidences high expectations for courtesy, respect, compassion, and an intellectually-engaged environment for both students and adults. This includes:

• Ensuring a safe, supportive and productive environment for students, staff, and families
• Modeling effective counseling practices in staff meetings, professional development sessions, and team meetings
• Cultivating strong partnerships with community organizations and regional and national partners
• Implementing behavior/discipline modification plan for grade group cohort in conjunction with the assistant principal

Salary $75000k- $
Compensation and Benefits:

Competitive salary based on experience

Health, dental, and vision insurance

FSA/HSA

8% Employer 403(b) contribution

Opportunities for professional development and growth within the organization

EEO/ADA

(Reasonable accommodations will be made in accordance with existing ADA requirements for otherwise qualified individuals with a disability)

This job description is not a complete statement of essential functions, responsibilities or requirements but represents the minimum level of knowledge, skills, and abilities needed. Management retains the discretion to add or change typical duties at any time and as required. All changes must be reasonable and within the functions of the role.

Salary Information

While the majority of new hires' starting salaries shall be expected to be placed in the first half of the range(s) to allow space to grow in the job, for those who already have significant relevant experience at that level of the job, placement at the higher end of the range(s) is possible.

Who We Are

United Charter High Schools (UCHS) is the largest and most successful public charter high schools' network in NYC. Originally founded as New Visions Charter High Schools by the nonprofit New Visions for Public Schools, it was established to provide quality educational opportunities for students in underserved communities. Renamed as UCHS as of July, 2024 the network consists of 7 charter high schools that held a collective graduation rate of 96% in both 2022 & 2023 whilst serving more than 3,000 students from the Bronx, Brooklyn and Queens.

UCHS high schools are some of New York's states highest performing charter high schools, consistently meeting and in many cases exceeding NYSED's Performance Benchmarks for Student Performance. They are outperforming NYS on the 4-year Cohort regents' exams and the 4-year graduation rate for all students and special populations. They also include the only NYC high school to receive the prestigious National Blue-Ribbon Award in 2022.

Equal Employment Opportunity Statement

We are an equal opportunity employer. It is our policy that all employees and applicants for employment will be treated in all respects on the basis of their merit and qualifications and without regards to their race, color, national origin, age, disability, sexual orientation, religion, gender, military status, marital status, ancestry, or any other reason prohibited by law. We believe that our teams should reflect the diverse communities we serve and that our culture and internal structures should be inclusive and equitable for all employees. We also recognize that

perspectives from communities that have been historically marginalized are critical to the work we do. Hence, we strongly encourage applications from individuals living in the communities that we serve or who are members of historically marginalized communities. We provide a comprehensive and competitive compensation and benefits package in addition to the opportunity to make a significant impact on education reform and in the lives of urban youth.

Disclaimer:

The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. These statements are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of a person in this position.

A career at United Charter High Schools is a commitment to academic excellence.

Position Information
**Job Title** Credit Adjunct Faculty - Humanities
**Posting Category** Adjunct Faculty/Part-time Instructor
**Starting salary range or starting hourly rate range** $1,115.73 per lecture credit hour; $836.80 per lab credit hour
**Classification Title**
**About Harford Community College**
Harford Community College (HCC) has been a vital part of Harford County since 1957. As a mid-sized, comprehensive institution, we're committed to delivering high-quality education and cultural enrichment to our community. Our mission is to provide relevant, accessible education and training that connects individuals to opportunities in an ever-evolving world. As an Achieving the Dream institution, HCC is part of a national network dedicated to enhancing student success in community colleges. To learn more about our vision and values, visit our website ( .
**Affirmative Action and Equal Employment Opportunity Statement**
Harford Community College is committed to the principles of Affirmative Action and Equal Employment Opportunity. It is the policy of Harford Community College not to discriminate against applicants on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by law with regard to any employment practices. HCC is an EEO and ADA/ADAA employer, including disability and protected veteran status.
**Benefits**
**Job Description**
Harford Community College is seeking qualified adjunct faculty members to teach on-campus, online, and/or hybrid classes in subjects including:
+ World Languages
+ History
+ Philosophy
+ Religion
Employees of Harford Community College, including instructors for online and virtual courses, must be residents of Maryland or the contiguous states of Delaware, Pennsylvania, Virginia, West Virginia, or the District of Columbia. Work is generally performed on the College campus unless otherwise specified.
**_Applicants must be currently authorized to work in the United States, as the College does not offer Visa sponsorship for this position._**
_Your application to this position will remain active until December 31 of the current year. If you are not selected by that time, you must re-apply to be considered. If you apply_ **_on or after November 1 of the current year_** _, your application will remain active until December 31 of the following calendar year._
**Required Education**
A Master's degree in the subject or a closely-related subject.
**Required Experience**
-
**Required Knowledge, Skills, & Abilities**
-
**Preferred Qualifications**
Prior teaching experience preferred. Professional experience in the discipline a plus. Prior experience using a Learning Management System (LMS). Prior experience with classroom technology.
**General Weekly Work Schedule**
Schedule varies per assignment.
Posting Detail Information
**Posting Number** AO
**Open Date** 01/02/2025
**Close Date** 12/31/2025
**Open Until Filled** No
**Special Instructions to Applicants**
**Supplemental Questions**
Required fields are indicated with an asterisk (*).
1. *Do you have a master's degree in the subject area(s) or a closely related field?
2. yes
3. no
4. *Please select the discipline(s) for which you are qualified to teach.
5. World Languages
6. History
7. Philosophy
8. Religion
9. *In which capacity are you able to teach? (select all that apply)
10. Face-to-face
11. Online
12. Hybrid
13. *When are you available to teach? (select all that apply)
14. Daytime
15. Evenings
16. Weekends
17. *When are you available to teach throughout the year? (select all that apply)
18. Spring
19. Summer
20. Fall
21. Winter
22. *Do you have prior experience teaching as part-time or adjunct faculty?
23. Yes
24. No
25. *What levels of education do you have experience teaching? (Select all that apply)
26. Grade School Level
27. Middle School Level
28. High School Level
29. College Level
30. Graduate Level
31. *Please specify which classes you have taught in relation to the adjunct position for which you are applying.(Open Ended Question)
32. *If experienced teaching online, when did you last teach online?(Open Ended Question)
33. *Do you have experience using a Learning Management System (LMS) such as Blackboard, Brightspace, Canvas, Moodle?
34. Yes
35. No
36. *Online teaching assignments are contingent upon the successful completion of five online training modules provided by HCC. Do you accept this condition of teaching online?
37. Yes
38. No
39. N/A
40. *Do you live in Maryland or a contiguous state to Maryland? (PA, DE, VA, WV, DC)
41. Yes
42. No
43. *Will you require sponsorship to work in the United States from Harford Community College?
44. No, I will not require sponsorship from Harford Community College
45. Yes, I will require sponsorship from Harford Community College
**Documents Needed To Apply**
**Required Documents**
1. Resume
2. Cover Letter
**Optional Documents**
1. Transcript
2. Curriculum Vitae
401 Thomas Run Road
Bel Air, Maryland 21015
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Copyright © Harford Community College

Assistant Professor - Bioethics & Health Humanities
**Galveston, Texas, United States**
Faculty
UTMB Health
Requisition #
**ESSENTIAL JOB FUNCTIONS:**
+ Teach and mentor graduate and medical students, and students of other health professions, including interprofessional education.
+ Provide medical humanities and ethics education for faculty and staff.
+ Engage in and publish original research, including results from collaborative activities.
+ Other duties as assigned.
**MINIMUM QUALIFICATIONS:**
+ PhD, JD, or MD (or equivalent) with a strong record of scholarship in bioethics and health humanities.
**PREFERRED QUALIFICATIONS:**
+ Strong promise for external funding, skills in collaborating across disciplines, and knowledge of academic health centers.
**SALARY:**
Commensurate with experience
**Equal Employment Opportunity**
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.
Compensation

Job Title: Generative AI Specialist - Humanities (English)

Location: Fully Remote within the U.S. (excluding Alaska, California, Colorado, Nevada, Puerto Rico)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Minimum Qualifications:  

• A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD)

• Professional or Expert level proficiency (C1/C2) in English

Hourly Range: $25.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. 

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.  

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.  

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.  

Job Title: Generative AI Specialist - Humanities (English and Italian)

Location: Fully Remote within the U.S. (excluding Alaska, California, Colorado, Nevada, Puerto Rico)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We're poised for a period of explosive growth over the next few years.

About the Role:

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance.

This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

What You'll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.

1. Classification: Assigning predefined categories or labels to items.

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.

1. Response Summarization: Producing concise summaries of longer pieces of text or data.

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.

1. Transcription: Converting spoken language or audio content into written text.

1. Translation: Converting text or spoken language from one language to another.

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

Minimum Qualifications:

• A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
• Professional or Expert level proficiency (C1/C2) in English and Italian

Hourly Range: $25.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.

Job Title: Generative AI Specialist - Humanities (English and Arabic)

Location: Fully Remote within the U.S. (excluding Alaska, California, Colorado, Nevada, Puerto Rico)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We're poised for a period of explosive growth over the next few years.

About the Role:

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance.

This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

What You'll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.

1. Classification: Assigning predefined categories or labels to items.

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.

1. Response Summarization: Producing concise summaries of longer pieces of text or data.

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.

1. Transcription: Converting spoken language or audio content into written text.

1. Translation: Converting text or spoken language from one language to another.

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

Minimum Qualifications:

• A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
• Professional or Expert level proficiency (C1/C2) in English and Arabic

Hourly Range: $25.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.

The Fox Center for Humanistic Inquiry is pleased to open applications for our one-year Humanities Pathways dissertation completion fellowship. This fellowship (20 hours/week) is intended to provide a graduate student in the humanities or humanistic social sciences a pathway into careers beyond the tenure track. The selected fellow will gain a broad range of professional experience by collaborating with our staff team, including in the areas of communications, event design, program management, budget management, and research and assessment. Students with a strong interest in alternative academic careers are especially encouraged to apply. The fellow will have a desk at the Center and is expected to work primarily in person. Occasional evening work (2-3 times per month) is expected as part of supporting the Center's events program.
This fellowship provides a 9-month stipend along with a 100% subsidy for the Emory University Student Health Insurance Plan (EUSHIP). The first stipend payment will be at the end of September. The fellow is expected to complete their degree during the year of the fellowship award.
The application deadline for applicants to submit their materials is November 17, 2025 at 11.59 PM ET. The deadline for receipt of letters of recommendation is November 23, 2025 at 11.59 PM ET.
Equal Employment Opportunity Statement
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.
Emory University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Georgia State laws, regulations, and executive orders regarding non-discrimination and affirmative action. Emory University does not discriminate on the basis of race, age, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, or gender identity or expression. Students, faculty, and staff are assured of participation in University programs and in use of facilities without such discrimination. The University also complies with all applicable federal and Georgia statutes and regulations prohibiting unlawful discrimination. All members of the student body, faculty, and staff are expected to assist in making this policy valid in fact. Any inquiries regarding this policy should be directed to the Emory University Office of Equity and Inclusion, 201 Dowman Drive, Administration Bldg., Suite 305, Atlanta, GA 30322. Telephone 404/ (V) 404/ (TDD).

Job Title: Generative AI Specialist - Humanities (English and French)

Location: Fully Remote within the U.S.

Employment Type: Flexible Part-Time Role (part-time, up to 28 hours weekly, no guaranteed hours. Project dependent.)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Minimum Qualifications:  

• A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD)

• Professional or Expert level proficiency (C1/C2) in English and French

Hourly Range: $25.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. 

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.  

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.  

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.  

Job Title: Generative AI Specialist - Humanities (English and Bengali)

Location: Fully Remote within the U.S. (excluding Alaska, California, Colorado, Nevada, Puerto Rico)

Employment Type: Flexible Part-Time Role (part-time, up to 25 hours weekly)

Who we are:  

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 

Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. 

About the Role:  

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You’ll Be Doing:

Core tasks would include (any/multiple of) but not limited to the following:  

1. Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  

1. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.  

1. Classification: Assigning predefined categories or labels to items.  

1. Content Quality: Evaluating the perceived quality and/or appropriateness of content  

1. Content Understanding: Generating labels to advance understanding of a concept, trend etc.  

1. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  

1. Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  

1. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 

1. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.  

1. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.  

1. Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  

1. Response Generation: Generating responses to prompts or questions using a language model or other AI system.  

1. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  

1. Response Summarization: Producing concise summaries of longer pieces of text or data.  

1. Similarity Evaluation: Projects where content is compared in order to drive a determination.  

1. Transcription: Converting spoken language or audio content into written text.  

1. Translation: Converting text or spoken language from one language to another.  

1. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. 

Minimum Qualifications:  

• A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD)

• Professional or Expert level proficiency (C1/C2) in English and Bengali

Hourly Range: $25.00 USD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. 

Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.  

Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.  

Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.