7,455 Data Annotator jobs in the United States

Our high-profile technology Client is seeking an Annotator for a REMOTE contract assignment. As a **Data Annotation Analyst** , you will be part of the Data Quality Analytics Team for AR/VR UX research projects for this Client.
**Data Annotation Analyst**
**Remote, USA, must work PST time zone (9 AM - 5:30 PM PST).**
**3 month contract w/ possible extension.**
**$18.00/hour on Experis W2**
**What's the Job?**
+ The role is for annotations on the Data Quality Team. You will be given a set of guidelines, and you will apply labels (or annotate) media.
+ Consistently apply quality methodology, guidelines, and rubric when labeling and annotating large data sets
+ Utilize in-house data labeling platforms for annotation tasks
+ Become a subject matter expert on your workflow
+ Identifying errors and trends, and report to stakeholder on analysis/findings
**What's Needed?**
+ Someone with prior annotation experience preferred
+ High-school diploma
+ Ability to follow instructions and guidelines in a detail-oriented fashion, while being able to point out inefficiencies and propose solutions or improvements.
+ Great communication and collaboration skills and prior experience working with cross-functional teams
+ Ability to manage time effectively and prioritize Tasks while maintaining quality and efficiency
+ Self-motivated and able to manage workload independently
+ Ability to utilize basic functions, formulas, and tables in Excel/Spreadsheets
**What's in it for Me?**
+ Opportunity support projects for a high-tech global Client
+ Chance to work with a high performing team of technicians
+ Medical/Dental/Vision/401K
+ PTO - Paid Time Off
**About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells**
_ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _-_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote,

Job Title: AI Data Annotator
Location: Remote/Hybrid/On-Site
Duration: 3 Months to extend
Rate: $35-45 Per Hour W2
Start Date: This role has been filled. Please check back for other opportunities.

Responsibilities:

• Label and annotate text, image, and video datasets
• Maintain quality and consistency in training data
• Collaborate with Data Science and QA teams

Requirements:

• Detail-oriented with excellent communication skills
• Prior experience with data labeling tools (e.g., Labelbox)
• Basic understanding of machine learning workflows

Nice to Haves:

• Familiarity with Python or SQL
• Experience with annotation for computer vision or NLP

Job Title: AI Data Annotator
Location: Remote/Hybrid/On-Site
Duration: 3 Months to extend
Rate: $35-45 Per Hour W2
Start Date: This role has been filled. Please check back for other opportunities.

Responsibilities:

• Label and annotate text, image, and video datasets
  
• Maintain quality and consistency in training data
  
• Collaborate with Data Science and QA teams
  

Requirements:

• Detail-oriented with excellent communication skills
  
• Prior experience with data labeling tools (e.g., Labelbox)
  
• Basic understanding of machine learning workflows
  

Nice to Haves:

• Familiarity with Python or SQL
• Experience with annotation for computer vision or NLP

Geospatial AI Data Annotator

About Enabled Intelligence, Inc.

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!

Geospatial AI Data Annotator

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As an apprentice on the Enabled Intelligence annotation team, you will train in all aspects of AI Data Annotation including Geospatial Imagery, FMV, SAR and all orders of battle. Once completing the apprenticeship you will help us collect and annotate data to support mission critical national security programs with AI/ML solutions. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Responsibilities

• Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
• Interact with data science and data engineering teams to design new features for more efficient labeling techniques
• Gain an in-depth knowledge of using both commercial and custom annotation software tools
• Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills

• Ability to follow directions and meet deadlines
• Ability to communicate reliably
• Ability to learn and retain new information and apply it to a variety of projects
• Ability to be a good team player and work with individuals with different communication, learning and working styles.
• Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
• Ability to understand and apply guidelines for data annotation
• Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
• Ability to keep information confidential
• Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours
• Eligible to obtain a Top Secret security clearance
• Must be a US Citizen

Desired Qualifications and Skills

• Previous experience working in a professional, office environment
• Previous experience in an IT based position
• Education background in information technology or technical field
• Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text
• Prior experience with business productivity tools like Microsoft Office, and/or Slack
• Highschool Degree

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance

• Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.

Description

Amazon is looking for an AI Data Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.

Key job responsibilities

As an AI Data Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements

Basic Qualifications

- High-School or equivalent diploma

- 2+ years of working with written language data, including experience with annotation, and other forms of data markup

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale)

- Strong understanding of U.S.-based culture, society, and norms

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bachelor's degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- 1+ year(s) of experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description

Amazon is looking for an AI Data Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.

Key job responsibilities

As an AI Data Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:

• Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

• Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

• Performing audits and quality checks of tasks completed by other specialists, if required

• Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

• Diving deep into issues and implementing solutions independently

• Identifying and reporting tooling bugs and suggesting improvements

Basic Qualifications

• High-School or equivalent diploma

• 2+ years of working with written language data, including experience with annotation, and other forms of data markup

• Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale)

• Strong understanding of U.S.-based culture, society, and norms

• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism

• Excellent attention to details and ability to focus for a long period of time

• Comfortable with high-school level STEM

• Ability to effectively write and evaluate diverse subject matter across various domains

• Ability to adapt writing style to suit various style guidelines and customers

• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

• Bachelor's degree in a relevant field or equivalent professional experience

• Experience with creating complex data for LLM training and evaluation

• 1+ year(s) of experience working with command line interfaces and basic UNIX commands

• Familiarity with common markup languages such as HTML, XML, Markdown

• Familiarity with common standard text formats such as JSON, CSV, RTF

• Working knowledge of Python or another scripting language

• Familiarity with regular expressions syntax

• Familiarity with Large Language Models

• Comfort in annotation work that may include sensitive content

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon is looking for an AI Data Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.
Key job responsibilities
As an AI Data Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
Basic Qualifications
- High-School or equivalent diploma
- 2+ years of working with written language data, including experience with annotation, and other forms of data markup
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale)
- Strong understanding of U.S.-based culture, society, and norms
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain)  and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title:  QA Analyst - Data Annotation Specialist

Location:  On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours:  40 hours weekly

Language:  Spanish (Spain)

Start date:  Mid-January 2025

Employment Type:  W-2 Contract

Duration:  At least 12 months (with potential for extension)

Pay rate:  $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

• ul>
• Conduct data annotation and QA
• Collaborate with team members on-site
• Ensure secure handling of data and maintain confidentiality

Requirements

• • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required .
  • At least 1-2 years of data annotation experience
  • Visual annotation experience is a plus (Video & Image)
  • Experience in quality assurance
  • Excellent communication skills
  • Augmented Reality experience is a plus
  • No technical skills needed, but a linguistic background and/or formal QA experience is required
  • Ability to work 100% on-site
  • Strong attention to detail and problem-solving skills

Benefits

• • Paid Sick Time
  • Employee Assistance Program  
  li>Following eligibility requirements: Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Voluntary Life Insurance
  • Accident, Critical Illness, Hospital Indemnity Insurance
  • 401(k) Retirement Plan

$8 - 28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Who is Seyond?

Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and more mobile world across the automotive, intelligent transportation, robotics and industrial automation sectors. Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development. Our dynamic portfolio - including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi - powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon. Currently, over 200,000 Falcon units are in use, and the product continues to be mass-produced today.

Job Summary

As a Data Annotator, you will play a key role in training and improving our AI models. You'll be responsible for carefully preparing, slicing, and labeling LiDAR point cloud data, ensuring that every object is annotated accurately and consistently. This role is ideal for individuals who are detail-oriented, comfortable with structured tasks, and eager to contribute to cutting-edge AI development.

How will you make an impact?

• Data Preparation:
  • Upload raw data into our data management system.
  • Organize and prepare datasets for annotation.
• Data Slicing:
  • Slice point cloud data into frames based on provided timestamps.