Generalist Data Labeling Specialist @ Call For Referral
Your Application Journey
Email Hiring Manager
Job Details
About the Role
The Generalist Data Labeling Specialist role at Call For Referral is a remote, short-term contract position paying $45 per hour. You will support advanced AI development by categorizing, labeling, and structuring diverse datasets to improve AI model accuracy and reasoning. Your work directly influences the quality, reliability, and interpretability of next-generation AI technologies.
Key Responsibilities
- Synthesize large volumes of information into structured outputs.
- Annotate and classify text, images, and multimedia data.
- Apply standardized rubrics and taxonomies for consistent quality.
- Identify and flag errors or inconsistencies in datasets.
- Contribute to the enhancement of AI reasoning systems.
Ideal Qualifications
Based in the United States with a strong ability to process and structure complex information efficiently. Excellent reading comprehension, analytical, and writing skills are essential. Experience in data labeling, content moderation, taxonomy development, or linguistic annotation is preferred but not required. Must be comfortable working independently and maintaining quality with flexible scheduling.
Project Details
- Start Date: Immediate
- Duration: Through October (potential extension through year-end)
- Commitment: ~20 hours/week
- Schedule: Fully remote and asynchronous
- Compensation: $45 USD/hour for U.S.-based contractors
- Payment: Weekly via Stripe Connect
Application Process
Submit your resume to start the process, complete a short training assessment to demonstrate attention to detail, and receive a response within 1–2 business days. The Mercor team reviews applications daily, so prompt completion is encouraged.
Key skills/competency
Data Annotation, AI, Labeling, Classification, Taxonomy, Remote, Detail-Oriented, Independent, Analysis, Content Moderation
How to Get Hired at Call For Referral
🎯 Tips for Getting Hired
- Review Call For Referral culture: Understand the company mission and values.
- Tailor your resume: Emphasize data labeling and annotation experience.
- Prepare training assessment: Practice attention to detail tasks.
- Follow up: Reach out promptly after submission.