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Ai Annotator Jobs (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Job Summary (List Format): Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Main ... AI, Supervisely, V7, Encord, etc.). - Ability to systematically break down and label complex heavy ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

Here's a job summary in list format based on your description for the Data Annotator & QA Reviewer ... AI, Supervisely). - Strong understanding of mining operations, spatial perception, and heavy ...

Apple

AI/ML Evaluation Specialist, Human Data

Cupertino, CA

$144K - $263K/yr

  • Medical

  • Dental

  • Retirement

... analyzing annotator behavior patterns to identify where automation can offload low-judgment ... AI features safer and more reliable. The ideal candidate brings a rare combination of technical ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

We are seeking a highly detail-oriented Data Annotator & QA Reviewer to join our Autonomy ... If you thrive at the intersection of robotics, spatial perception, and high-precision AI data, join ...

Mercor

Project Manager - LLM Specialist

New York, NY · Remote

$50 - $60/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Role Responsibilities * Track project and annotator performance using Google Sheets

Jobtailor

Lead Generative AI Analyst

San Francisco, CA · On-site

$180 - $230/hr

Track annotator metrics to ensure top-quality deliverables. Write creative prompts and responses across diverse topics. Manage labeling initiatives with third-party firms and internal customers.

AeroVironment, Inc.

Ukrainian Language Annotator

Annapolis, MD · On-site

$61K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Worker Type Regular Summary The Ukrainian Language Annotator will support the research, development ... From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our ...

e2f, inc.

Feedback that improves annotator performance and overall output quality. * Contribution to a scalable, predictable quality system. Why TrustScale: At TrustScale, we operate AI talent as a supply ...

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How much do ai annotator jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai annotator in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.27 per hour, depending on experience, location, and employer.

What is an AI annotator?

An AI Annotator is responsible for labeling, tagging, and categorizing data used to train machine learning models. This can include annotating images, text, audio, or video to help AI systems recognize patterns and improve accuracy. The role requires attention to detail, consistency, and sometimes domain-specific knowledge. AI annotators often use specialized tools and follow predefined guidelines to ensure high-quality data labeling. Their work is essential for enhancing AI model performance across various applications.

What skills and qualifications are needed to thrive as an AI annotator?

To thrive as an AI Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling procedures, often supported by a high school diploma or higher. Experience with annotation tools, data management systems, and sometimes basic knowledge of programming languages or machine learning concepts is highly valued. Excellent communication, the ability to follow guidelines precisely, and time management skills set top performers apart in this field. These qualifications ensure the accurate annotation of data, which is essential for effective AI model training and overall project success.

What does an AI annotator do?

A typical day for an AI Annotator involves reviewing, labeling, and categorizing various data types such as images, text, audio, or video according to detailed project guidelines. You’ll frequently use specialized annotation platforms and collaborate with team leads or quality assurance members to ensure data accuracy and consistency. Some projects may require handling large data volumes or adapting quickly to updates in labeling instructions. Regular communication with developers or data scientists may also be part of the role to clarify ambiguities and enhance the quality of training data. This work is usually performed individually but often within a supportive team environment.

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Ai Annotator jobs near you
Infographic showing various Ai Annotator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $127,720 per year, or $61.4 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 8 days ago

Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
Main Responsibilities:
- Execute manual data annotation and rigorous QA review for perception (video, images, sensor data) and VLA (Vision-Language-Action) models.
- Annotate and segment mining site entities (haul roads, berms, rock piles, vehicles, personnel, machinery) in 2D video and 3D LiDAR/radar data.
- Track and map heavy equipment trajectories, articulation angles, and operational states in complex mining environments.
- Align and cross-reference visual data with multi-sensor telemetry (LiDAR, radar, GPS/GNSS, IMU, CAN bus, payload sensors).
- Decompose mining tasks into granular actions, label machine/operator intent, and model chains of causation for operational behaviors.
- Tag and verify outcomes, comparing expected vs. actual results (e.g., full bucket loads, tire slips, dumping success).
- Conduct thorough QA audits to ensure high precision, especially in mining-specific edge cases (dust, mud, poor lighting, complex terrain).
- Audit temporal consistency and semantic accuracy in annotated datasets.
- Provide structured feedback and help update annotation guidelines as new mining scenarios emerge.
Key Skills & Requirements:
- 1+ years of professional experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience with 3D spatial data (LiDAR, depth maps, multi-camera feeds).
- Proficient in standard labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.).
- Ability to systematically break down and label complex heavy machinery actions and interactions.
- Strong 3D spatial visualization and attention to detail, especially for mining environments and hazards.
- Working knowledge of mining operations, heavy equipment mechanics, and pit safety terminology.
- Comfortable with geospatial formats, sensor logs, and structured metadata (JSON/XML).
Preferred/Bonus Qualifications:
- Background in Mining Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems (AHS), telemetry logs, or VLA models for industrial robotics.
Soft Skills:
- High attention to detail and precision in annotation.
- Effective communication and feedback skills for collaboration and guideline improvement.
- Ability to handle complex, ambiguous scenarios in high-stakes autonomous environments.