Senior Data Quality Engineer (AI)

Location: Full-time onsite at the Irving, TX office (Dallas), United States. Domestic relocation assistance is available.

Salary: $112,710.00–$183,140.00 per year.

Company

hirify.global develops connected machines, software, AI, autonomy, and data platforms for construction and industrial applications.

What you will do

• Define data quality standards, acceptance criteria, and annotation guidelines for sensor data, labels, and captions used in perception and VLA datasets.
• Build automated quality gates and validation tooling across ingestion, labeling, and dataset publication.
• Develop AI-driven checks for label-noise detection, consensus scoring, and caption verification using vision-language models.
• Define dataset quality KPIs, including label accuracy, inter-annotator agreement, and rework rate, and report results through dashboards.
• Audit internal and vendor annotations using gold datasets and statistical sampling; manage providers through scorecards, feedback loops, and SLAs.
• Analyze dataset coverage and gaps, trace model failures to data issues, and maintain dataset lineage, versioning, and governance.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
• 3+ years of production-grade software development with Python, SQL, modern software engineering practices, and containerization platforms such as Docker or Kubernetes.
• 3+ years designing and implementing data pipelines, APIs, and distributed data processing systems.
• 3+ years building data validation frameworks and automated quality checks for large-scale datasets.
• Strong understanding of statistics and sampling methods for auditing and measuring data quality.
• 3+ years managing camera and LiDAR sensor datasets for autonomy or computer vision, including ground-truth generation and annotation quality assurance.
• Ability to define annotation guidelines, identify labeling defects, and improve dataset accuracy measurably.
• 3+ years using annotation and dataset management tools such as Labelbox, CVAT, or FiftyOne, and machine learning frameworks such as PyTorch or MLflow.
• Strong problem-solving and communication skills, including collaboration with technical teams and external vendors.

Nice to have

• Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
• Experience with AI-assisted quality techniques, label-noise detection, active learning, or consensus-based review.
• Experience evaluating vision-language model outputs or working with Vision-Language-Action datasets.
• Experience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI data curation platforms.
• Experience with data lineage, dataset versioning, workflow orchestration, cloud platforms, MLOps, or machine learning deployment pipelines.
• Experience managing vendor quality programs, including scorecards and SLAs.

Culture & Benefits

• Full-time employment supporting hirify.global’s physical AI and construction autonomy programs.
• Medical, dental, and vision benefits, paid time off, parental and adoption benefits, disability benefits, and life insurance.
• 401(k), HSA, FSA, incentive bonus, voluntary benefits, and employee discounts.
• Career development and tuition reimbursement programs.
• Visa sponsorship is available.

Hiring process

• Any employment offer is conditional on successful completion of a drug screen.