Data Operations Associate, Expert Talent Pool

About the Role

Join a network of data operations specialists supporting human-data projects for AI research. You will source, curate, and validate datasets that help improve the quality of AI systems, with projects matched to your background.

What You'll Do

• Source and collect documents, images, audio, or video according to project specifications, including capturing new media when needed.

• Sort, de-duplicate, tag, and filter datasets against quality standards.

• Generate synthetic examples to specification and validate them against labeling guidelines.

• Review and adjudicate annotations, identifying work as correct, incorrect, or unclear.

• Run calibration and audit rounds to support consistency across annotators.

• Help write and refine labeling guidelines with clear, practical examples.

What We're Looking For

• Under five years of hands-on experience in data operations, annotation quality assurance, dataset work, or a related detail-focused role.

• Experience in data, quality assurance, research assistance, operations, or content review, or a degree in a data-related field such as statistics, linguistics, information science, computer science, library science, or GIS.

• Experience sourcing, collecting, cleaning, or curating datasets and checking work against written guidelines or specifications.

• Comfortable using Excel or Google Sheets and web-based tools.

• Experience with annotation or data platforms such as Label Studio, Labelbox, CVAT, Scale, Remotasks, or Appen is a plus.

• AI data project experience, including labeling, evaluations, synthetic data, or guideline writing, is valued. Additional language fluency is also a plus.

• Strong attention to detail and clear written English.

Compensation & Benefits

Compensation is $20 to $40 per hour, depending on project, field, and experience level. Payment is for hours worked.

Location

Fully remote. Projects may last from one week to several months.