Remote AI Data Labeling Specialist — Multimodal QA

Rex.zone; United States; On-site; USD 41,328 - 68,880; Full time

Job summary

A tech company is looking for a Remote Data Labeling Specialist to create and validate labeled training data for AI/ML systems. In this role, you will label and review diverse data types and perform evaluations for language model assessments. The position requires mid-to-senior level experience in data annotation, strong English reading skills, and familiarity with annotation tools. Competitive hourly compensation ranges from $30 to $50, depending on skills and program needs.

Qualifications

• Mid-to-senior experience in data labeling/data annotation with measurable QA outcomes.
• Comfort with annotation tools, task queues, and remote QA workflows.
• Ability to apply consistent labeling decisions and document edge cases clearly.

Responsibilities

• Label and review text, image, and multimodal data for AI/ML use cases.
• Perform RLHF-style preference ranking and prompt evaluation for large language model evaluation.
• Execute QA evaluation checks, resolve disagreements, and reduce annotation variance.

Skills

Data labeling

Annotation guidelines compliance

Remote QA workflows

Strong English reading comprehension

Job description

A tech company is looking for a Remote Data Labeling Specialist to create and validate labeled training data for AI/ML systems. In this role, you will label and review diverse data types and perform evaluations for language model assessments. The position requires mid-to-senior level experience in data annotation, strong English reading skills, and familiarity with annotation tools. Competitive hourly compensation ranges from $30 to $50, depending on skills and program needs.