115 Humanities jobs in the United States

• 435.04(2), Florida Statutes, related to background investigations. Any person failing to meet the requirements of the statute will be deemed not qualified to hold employment in this position. A Florida Department of Law Enforcement (FDLE) approved background check will be conducted on every successful candidate as a condition of employment, and any person who fails to disclose any adverse information contained in the background investigation at the time of submitting the employment application will be disqualified from employment.
  
  

Job Description

Anticipated Start: Spring 2025

Primary Purpose:
Instruction in assigned day time Humanities classes at the Jackson Campus.

Essential Responsibilities:
1. Prepare and teach assigned courses in accordance with course outlines and published course schedule.
2. Teach face-to-face Humanities classes on the Jackson Campus.
3. Collaborate with Arts and Sciences colleagues and administrators in program planning, assessment, and continuous improvement process.
4. Maintain accurate records for each course taught.
5. Prepare, review, and update course outlines on a regular basis.
6. Recommend and assist with curriculum revisions as necessary.
7. Assist in selection and ordering of equipment, supplies, and textbooks.
8. Participate in college events and activities.
9. Cooperate in scheduled student evaluations of instructor and college.
10. Submit all college reports in an accurate and timely fashion.
11. Attend instructor and departmental meetings as scheduled.
12. Be responsible for professional development and maintaining professional competence.

Minimum Qualifications:
Education:
Required: Master's Degree in a Humanities field, or Master's Degree in a related discipline, with a minimum of 18 graduate-level hours in English.
Preferred: Community college or high school teaching experience in this field of expertise.

Knowledge and Skills:
Ability to use computers and software to support instruction, including course management software, word processing, email, Internet, and student information database.

IMAPS at Indiana University of Pennsylvania (IUP) is seeking applications from self-motivated students who are capable of maintaining confidentiality in a professional environment. We are looking for students with initiative, who are detail oriented, Social Sciences, Worker, Humanities, Science, Student, Education

• Demonstrate effectiveness in serving students from first and 1.5-generation and/or historically underrepresented groups as they pursue their academic goals.
• Assist Gavilan College in efforts to increase student success by developing and implementing equity-minded best practices and programs.
• Provide leadership for program vitality and development and work directly with faculty to plan for curriculum and program additions, modifications, and deletion.
• Set priorities for resource needs, provide program analysis and multi-year instructional plans, and participate in the district's strategic and long-range instructional planning.
• Stay abreast of national trends and innovations in teaching and learning, including effective and engaging classroom practices and techniques, alternate modes of assessment, hiring practices, the role of technology in the classroom, and/or changes in course design prerequisites as related to AB 705 implementation.
• Explain the emerging trends within the division and advocate for program needs at key committees and at meetings.
• Encourage excellence in teaching and provide leadership and mentorship to new faculty.
• Serve on, participate in or lead campus organizations, committees, and meetings.
• Create a positive and collegial working environment for all levels of Division staff and work cooperatively with other campus personnel to integrate and coordinate programs and services across the curriculum within a Guided Pathways framework.
• Prioritize Division financial needs, including new hires, program funding, technology and instructional equipment, and communicate those priorities clearly to the departments involved.
• In consultation with faculty chairs, design the schedule of classes each semester to best meet student needs, and provide for staffing of Division courses; administer and evaluate courses and faculty as required by the collective bargaining agreement.
• Prepare and evaluate budget requests and allocate funds to meet the needs of students.
• Evaluate full-time and part-time faculty and other professional support staff.
• Support faculty and staff development and professional learning and growth among all Division members and track completion of professional growth for track and step advancement.
• Ensure courses for all college sites and centers regarding instructional programs and services meet student demand and need.
• Maintain current knowledge of new developments and innovations in community colleges and higher education, including, but not limited to computer and related technologies which may affect instruction; recommend changes to maintain relevance of division programs to meet student and community needs.
• Work cooperatively with other administrators and supervisors to coordinate programs and services across the curriculum and at all locations to meet student needs.
• Resolve conflicts and issues within and between divisions in compliance with collegiality and due process.
• Participate in the student grievance process as required by Board Policy.
• Analyze requests for staff to meet short-term and long-term needs and make recommendations to the College Cabinet; assist in developing job descriptions for new positions.
• Complete the program review and assist the faculty chairs and the Executive Vice President in completing and evaluating the efficacy of the program review and budget requests.
• Monitor compliance with state and federal regulations.
• Serve as evening administrator and perform other duties as assigned.

• Higher education in community colleges, including the mission of the California Community Colleges.
• Participatory governance within the California Community College System. Local, state, and federal laws governing programs and services.
• Principles and pillars of Guided Pathways.
• Adult learning theory and learning styles.
• Multiple methods of instruction.
• Varied evaluation procedures for staff and faculty.
• Curriculum development and course articulation.
• Budget preparation and control.
• Principles and practices of administration, supervision, and training.
• Interpersonal skills using tact, patience, and courtesy.
• District organization, operations, policies, and objectives.
• Computer and related technologies for instruction and information management.

• Thrive in a dynamic environment.
• Plan, organize, develop, and evaluate the programs, activities, and curriculum of college instructional programs.
• Communicate effectively in both oral and written communication.
• Effectively work with students, faculty, and staff from diverse backgrounds to promote equal access and equity-mindedness to all divisional programs.
• Select, train, supervise, and evaluate personnel.
• Interpret, apply, and explain rules, regulations, requirements, and restrictions.
• Maintain current knowledge of state and federal rules, regulations, requirements, and restrictions.
• Analyze situations accurately and adopt effective courses of action.
• Meet schedules and deadlines and plan and organize workflow effectively.
• Collaborate with and coordinate projects with other administrators and staff to offer effective services to students.
• Lead with integrity, transparency, and collegiality, focusing on improving student outcomes.

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• I am a California resident
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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.