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Language Annotator Jobs (NOW HIRING)

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

We are looking for Language Data Annotators to support the improvement of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

We are looking for Language Data Annotators to support the improvement of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours ...

Grid Dynamics Holdings

Data Scientist

Non-english language expertise is not required, but comfort collaborating with language subject ... Develop and implement monitoring frameworks to track evaluation progress, annotator performance ...

Grid Dynamics Holdings

Research Scientist

Collaborate with language and cultural experts to ensure exemplars are culturally appropriate and ... Develop and implement monitoring frameworks to track evaluation progress, annotator performance ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$172.10K - $258.60K/yr

Analyze trends across projects to identify patterns in annotator performance, task complexity, and ... Experience with the deployment of Large Language Models / Generative AI in service of efficiency in ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$172.10K - $258.60K/yr

Analyze trends across projects to identify patterns in annotator performance, task complexity, and ... Experience with the deployment of Large Language Models / Generative AI in service of efficiency in ...

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 ...

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How much do language annotator jobs pay per year?

As of May 30, 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 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.

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.
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 May 2026, with employment types broken down into 15% As Needed, 12% Temporary, 68% Contract, 3% Nights, and 2% Summer. Highlights an 100% Hybrid job distribution, with an average salary of $44,079 per year, or $21.2 per hour.

Vision-Language-Action (VLA) Annotator

Objectways Technologies Llc

Phoenix, AZ

$25/hr

Full-time

Posted 26 days ago

Job description

Location:RemoteEmployment Type: Full-Time | 40 hours/week Compensation: $25/hour
About the Role:
We are looking for a detail-oriented and technically capable Vision-Language-Action (VLA) Annotator to join our data operations team in Phoenix, Arizona. In this role, you will be responsible for reviewing, labeling, and quality-checking multimodal datasets used to train and evaluate autonomous driving and robotics models. Your work directly impacts the safety and performance of AI systems operating in the real world.
This is a full-time, 40-hour-per-week position requiring sustained focus, sound judgment, and the ability to apply structured annotation guidelines to complex, real-world scenarios including frequent edge cases.
Key Responsibilities:
  • Review and annotate video footage, sensor telemetry, and camera feeds from autonomous vehicle test drives and robotics platforms.
  • Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles, following distances, trail alignment, and controlled stop quality.
  • Use time-series telemetry data including speed, throttle, steering, and braking charts to make precise trim and segmentation decisions on data clips.
  • Apply annotation guidelines consistently while exercising independent judgment on ambiguous or edge-case scenarios.
  • Identify and flag unsafe, incomplete, or anomalous driving behaviors (e.g., rolling stops, improper following distance, out-of-distribution maneuvers).
  • Maintain high throughput and accuracy standards; participate in regular quality audits and calibration sessions.
  • Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently.
  • Document and communicate recurring issues or ambiguities in the data to improve pipeline quality.
Preferred Qualifications:
  • Education: Bachelor's degree with a STEM background preferred (Engineering, Computer Science, Physics, Mathematics, GIS, or related field).
  • Spatial & Mechanical Reasoning: Demonstrated ability to interpret vehicle or robotic behavior in 3D space from 2D camera feeds. Backgrounds in robotics, automotive engineering, mechanical engineering, GIS, or simulation are strong indicators.
  • Time-Series Data Literacy: Experience reading and interpreting sensor data, telemetry charts, lab instrumentation output, or signal processing data. Comfort with chart-heavy analytical workflows is essential for making precise trim decisions.
  • Driving Familiarity: Regular driving experience, ideally in varied or off-road conditions. Must be able to distinguish safe from unsafe driving behavior, recognize complete vs. rolling stops, and assess reasonable following distances.
  • Detail Orientation with Tolerance for Ambiguity: Ability to follow precise, rule-based guidelines while also applying sound judgment on frequent edge cases. Prior experience in QA, data annotation, or lab/research settings is a strong signal.
  • Video Review Endurance: Comfort with sustained video review tasks. Prior experience in video editing, surveillance monitoring, sports performance analysis, or media production is a plus.
Nice-To-Haves:
  • Prior annotation or data labeling experience, especially in autonomy or robotics datasets.
  • Familiarity with geospatial tools, map interfaces, or GIS platforms.
  • Hands-on experience with Encord, Label Studio, CVAT, Scale AI, or comparable labeling platforms.
  • Background in autonomous vehicles, ADAS systems, or driver safety analysis.

This is a remote position.