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Technical Data Annotation Analyst Jobs (NOW HIRING)

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... technical training. When you become a Q Analysts employee, you'll see the difference in the ...

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$125 - $150/hr

Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage ... technical data and strategic organizational goals. Annotation Operations & Quality * Assess the ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... technical training. When you become a Q Analysts employee, you'll see the difference in the ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

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Technical Data Annotation Analyst information

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How much do technical data annotation analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for technical data annotation analyst in the United States is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $58.89 per hour, depending on experience, location, and employer.

What is the difference between Technical Data Annotation Analyst vs Data Labeling Specialist?

AspectTechnical Data Annotation AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; familiarity with data annotation toolsHigh school diploma or equivalent; experience with labeling platforms
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects

The Technical Data Annotation Analyst and Data Labeling Specialist roles share similar credentials and work environments, often overlapping in AI and machine learning industries. However, the analyst typically involves more technical understanding and collaboration with data teams, while the specialist focuses primarily on labeling tasks. Both roles are essential in preparing data for AI models, but the analyst may require additional technical skills or familiarity with annotation tools.

What does a technical data annotation analyst do?

A technical data annotation analyst labels and categorizes data such as images, videos, or text to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working with large datasets in a structured environment.

What cities are hiring for Technical Data Annotation Analyst jobs?

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For Technical Data Annotation Analyst jobs, the most frequently searched job titles are:

Technical Data Annotation Analyst jobs near you

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems
1 - 5K employees
Learn more about Tanisha Systemsexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation Engineer

Location - Louisville, Kentucky (Day 1 onsite)


Pay Rate: Market- based on experience


We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance.
The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement.
  • Lead the day-to-day operation of the AI annotation program.
  • Manage a team of annotators responsible for reviewing customer conversations and AI interactions.
  • Develop annotation guidelines, procedures, and quality standards.
  • Establish calibration programs and quality assurance processes to ensure consistency across reviewers.
  • Partner with Data Scientists to create and maintain gold-standard datasets.
  • Monitor annotation accuracy, throughput, and quality metrics.
  • Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders.
  • Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch.
  • Plan capacity requirements to support seasonal increases in review volume.
  • Support future expansion into multilingual evaluation programs.
  • Identify process improvements that increase efficiency and annotation quality.
  • Bachelor's degree or equivalent experience in Linguistics/Psychology.
  • 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields.
  • Experience leading teams and managing operational workflows.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Experience supporting AI, machine learning, or data annotation programs.
  • Familiarity with Responsible AI, compliance, legal review, or governance processes.
  • Experience developing operational standards and quality frameworks.
  • Experience managing vendor or contractor resources.