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Language Annotator Jobs (NOW HIRING)

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

... in annotator performance, task complexity, and data characteristics to help optimize task design ... Experience with the deployment of Large Language Models / Generative AI in service of efficiency in ...

LILT, Inc

AI Expert - Armenian - Remote

Native fluency in the target language * Strong command of English * Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials

LILT, Inc

AI Expert - Serbian - Remote

Native fluency in the target language * Strong command of English * Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials

LILT, Inc

AI Expert - Khmer - Remote

Native fluency in the target language * Strong command of English * Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials

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How much do language annotator jobs pay per year?

As of Jun 19, 2026, the average yearly pay for language annotator in the United States is $44,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $50,000.00 per year, depending on experience, location, and employer.

What are Language Annotators?

Language Annotators are professionals who label, categorize, and tag text, audio, or speech data to help train and improve natural language processing systems and AI models. Their work involves identifying linguistic features such as parts of speech, named entities, sentiment, or intent in language data. Language Annotators play a crucial role in making AI technologies like chatbots, translation tools, and voice assistants more accurate and effective. They often work with large datasets and follow specific guidelines to ensure consistency and quality in the annotations.

What are the key skills and qualifications needed to thrive as a Language Annotator, and why are they important?

To thrive as a Language Annotator, you need strong linguistic knowledge, attention to detail, and typically a background in linguistics or a related field. Familiarity with annotation tools, text analysis software, and version control systems like Git is often required. Excellent communication, critical thinking, and the ability to follow detailed guidelines are essential soft skills. These skills ensure the production of high-quality, consistent data crucial for training effective language models and supporting NLP research.

What are some common challenges faced by Language Annotators, and how can they be managed effectively?

Language Annotators often encounter challenges such as maintaining consistency in annotation, managing large volumes of data, and adapting to evolving guidelines. To address these, it's important to communicate regularly with team members, participate in calibration sessions, and seek clarification when guidelines are unclear. Utilizing annotation tools efficiently and staying organized can also help manage workload and ensure high-quality results.
More about Language Annotator jobs
What job categories do people searching Language Annotator jobs look for? The top searched job categories for Language Annotator jobs are:
Language Annotator jobs near you
Infographic showing various Language Annotator job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 79% Part Time, 3% Temporary, 13% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $44,079 per year, or $21.2 per hour.
Multimedia Generative AI Analyst - USA (Remote)

Multimedia Generative AI Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$28.80/hr

Full-time

Posted 28 days ago

Job description

About the Role
We are hiring full-time Generative AI Analysts in the United States to support evaluation and quality review of AI-generated videos. In this role, you will review text prompts, watch corresponding video outputs, and identify mismatches, inconsistencies, and visual errors.
 
This role is best suited for candidates with strong attention to detail, excellent visual comprehension, and the ability to follow structured guidelines consistently. Candidates should be comfortable reviewing video content, comparing visual outputs against written prompts, and writing clear, concise annotations. A solid understanding of US driving and road rules is especially important, as some tasks may involve roadway scenarios, vehicle behavior, and basic robotics behavior in real-world environments. 
 
Project Details
  • Job Title: Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour
What You’ll Do
  • Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors.
  • Tag specific parts of the prompt that do not match the video by identifying only the incorrect prompt text, rather than the full sentence unless needed.
  • Add visual or behavioral errors as annotation instances in annotation platform.
  • Write brief, clear descriptions for each error instance.
  • Avoid duplicate annotations by ensuring errors already captured as prompt mismatches are not added again as separate instances.
  • Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment.
  • Apply project guidelines consistently across repetitive, detail-oriented tasks.
  • Use critical thinking and judgment to handle ambiguous scenarios and determine the most accurate ground truth.
  • Identify recurring or systematic errors across tasks and document examples for review.
  • Perform self-QA on completed work and correct errors before submission.
  • Participate in calibration sessions to align interpretation of guidelines and reduce annotator-to-annotator variance.
  • Incorporate feedback from quality reviews into subsequent work.
  • Support throughput and quality targets while maintaining accuracy at scale.
Requirements:
  • Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos.
  • Solid understanding of US driving rules, road behavior, traffic scenarios, and roadway conventions.
  • Good reading comprehension and ability to accurately compare written prompts against visual outputs.
  • Strong written communication skills in English, with the ability to describe errors clearly and concisely.
  • Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks.
  • Critical thinking and sound judgment when reviewing ambiguous or complex scenarios.
  • Basic understanding of robotics behavior in real-world environments.
  • Comfortable working in structured annotation platforms or similar tools.
  • Ability to maintain focus and quality while reviewing multimedia content for extended periods.
Ways to Stand Out from the Crowd
  • Prior experience evaluating AI-generated video, synthetic media, autonomous driving data, robotics scenarios, or traffic-related visual content.
  • Familiarity with US traffic rules, road signage, lane behavior, vehicle interactions, pedestrian behavior, and common driving scenarios.
  • Experience with QA, audit, or second-pass review workflows, including calibration, sampling, defect tracking, or error taxonomy development.
  • Ability to identify recurring model failure patterns across tasks or batches.
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. www.welocalize.com
 
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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.