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Language Data Annotator Jobs (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

Centific

Malay Data Annotator

Redmond, WA · On-site

Malay Data Annotator Location: Redmond, WA Type: Full‑time ... Native speaker of the target language with English proficiency * Must be authorized to work in the ...

Wisedocs

Medical Data Annotator (Bilingual)

Medical Data Annotator Wisedocs is a fast-growing, venture-backed AI platform that transforms how ... Round 4 - French Language Assessment: A 30-minute conversation to assess your French language ...

Careerflow

Japanese Data Annotator

$640/wk

Job Title We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language. This is a long-term, remote gig. No prior experience is ...

TEKsystems

Data Annotation Specialist

Austin, TX · Remote

$25 - $35/hr

As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our ... Additional language skills, which are beneficial for multilingual data annotation projects. Proven ...

Retell AI

Senior Language Engineer

San Francisco, CA · On-site

$200K - $290K/yr

... A annotator output. * Build data processing and cleaning pipelines that align datasets to ... A strong applied ML background in language or audio modeling - ideally having contributed to the ...

Cartesia, Inc.

Language Lead - Hindi (Contract)

You will own your language end to end, which includes managing annotation quality, auditing data ... Listen to annotator-rated audio files and check whether their ratings and written feedback align ...

LILT (Production)

$20/hr

... Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational ... Volume of data processed per hour/day. * Quality: Accuracy scores, Inter-Annotator Agreement (IAA ...

Innodata Inc.

Data AI Annotator - Flexible Hours

$15/hr

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but ... Reviewing data and identifying whether or not a product feature works as intended based on the ...

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Language Data Annotator information

What is the difference between Language Data Annotator vs Transcription Specialist?

AspectLanguage Data AnnotatorTranscription Specialist
CredentialsBasic computer skills, attention to detailTyping proficiency, language skills
Work EnvironmentData labeling platforms, remote or officeAudio/video transcription, remote or office
Industry UsageAI training, machine learning datasetsMedia, legal, medical transcription
Search IntentCompare roles in data annotationCompare roles in transcription

The main difference is that Language Data Annotators focus on labeling and categorizing language data for AI models, while Transcription Specialists convert audio or video content into written text. Both roles require language skills and attention to detail but serve different purposes within the language processing industry.

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Infographic showing various Language Data Annotator job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Annotator

Irving, TX • On-site

Expert Technology Services
IT Services • 11 - 50 employees
Learn more about Expert Technology Servicesexternal

$109K - $132K/yr

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
- Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video, images, and multi-sensor machine data.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, machinery) in both 2D and 3D data formats (LiDAR, radar, video).
- Track heavy equipment trajectories and operational states, including motion paths, articulation, bucket/blade actions, and velocity in challenging mining environments.
- Align and fuse data from various sensors (camera, LiDAR, GPS/GNSS, IMU, CAN bus, payload sensors) to maintain accurate spatial and temporal mapping.
- Decompose mining workflows into structured task sequences, labeling actions, operator/machine intent, causations, and outcomes for autonomous system training.
- Model and annotate causal relationships and site-specific triggers (e.g., environmental changes, equipment reactions) in mining operations.
- Tag and verify outcomes of machine actions, comparing expected vs. actual results (e.g., load success, hazard avoidance, maneuver outcomes).
- Conduct rigorous QA audits of labeled datasets, ensuring high accuracy, semantic consistency, and correct handling of mining-specific edge cases (dust, mud, night, glare, underground).
- Provide feedback and update labeling guidelines based on emerging annotation challenges and edge cases.
- Utilize various labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation.
- Collaborate with internal and external teams to maintain data quality standards and continuously improve annotation processes.
Required Skills & Qualifications:
- 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds).
- Strong attention to detail, especially for complex spatial and environmental scenarios.
- Familiarity with mining operations, heavy equipment, and related safety/operational terminology.
- Technical aptitude with geospatial/sensor data formats (JSON, XML) and labeling tools.
- Ability to breakdown complex workflows into sequenced actions and label accordingly.
- Strong 3D spatial visualization and perception skills.
Desired (Nice to Have):
- Background in Mining Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems or industrial robotics VLA models.