Annotation Quality Engineer

Henderson Scott; Dallas (TX); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Annual incentive opportunities

401(k)

Paid time off

Parental leave

Professional development reimbursement

Job summary

Henderson Scott is seeking an Annotation Quality Engineer to support a major AI/ML programme. You will work across large-scale data operations to ensure the quality and reliability of computer vision, robotics and foundation model datasets.

Responsibilities include developing quality metrics, auditing processes and collaborating with AI, engineering, and data operations teams to drive continuous improvement. This role offers annual incentives and comprehensive benefits.

Qualifications

• Experience in AI/ML data annotation quality, data operations or quality engineering.
• Background supporting large-scale annotation programmes.
• Knowledge of computer vision, robotics or foundation model datasets.
• Experience with quality metrics, audit frameworks and root-cause analysis.
• Working knowledge of SQL, Python or data analysis tools.
• Strong analytical and stakeholder management skills.

Responsibilities

• Develop annotation quality standards, metrics and acceptance criteria.
• Design sampling, auditing and quality assurance processes.
• Evaluate AI-generated captions, reasoning outputs and training datasets.
• Analyse quality trends, identify defects and drive continuous improvement.
• Collaborate with AI, engineering and data operations teams.
• Support dataset validation, reviewer calibration and quality reporting.

Skills

SQL

Python

Data analysis tools

Analytical thinking

Stakeholder management

Job description

Hiring: Annotation Quality Engineer | AI / Machine Learning

Salary: $80,000 – $90,000 + Benefits

I'm currently recruiting for an Annotation Quality Engineer to join a major global technology programme supporting advanced AI and machine learning initiatives.

This is an opportunity to work across large-scale AI data operations, supporting the quality and reliability of datasets used in computer vision, robotics, physical AI and foundation model

development.

Key Responsibilities:

• Develop annotation quality standards, metrics and acceptance criteria.
• Design sampling, auditing and quality assurance processes.
• Evaluate AI-generated captions, reasoning outputs and training datasets.
• Analyse quality trends, identify defects and drive continuous improvement.
• Collaborate with AI, engineering and data operations teams.
• Support dataset validation, reviewer calibration and quality reporting.

What We're Looking For:

• Experience in AI/ML data annotation quality, data operations or quality engineering.
• Background supporting large-scale annotation programmes.
• Knowledge of computer vision, robotics or foundation model datasets.
• Experience with quality metrics, audit frameworks and root-cause analysis.
• Working knowledge of SQL, Python or data analysis tools.
• Strong analytical and stakeholder management skills.

What's on Offer:

• Annual incentive opportunities.
• 401(k), paid time off and parental leave.
• Professional development and training reimbursement.

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