Data Annotator
تفاصيل الوظيفة
Job Summary
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey.
Position: Language Model Evaluator
Type: Full-time or Part-time Contract Work
Compensation: $23/hour
Location: Geography restricted to Egypt Saudi Arabia UAE USA
Role Responsibilities
- Evaluate LLM-generated responses on their ability to effectively answer user queries.
- Conduct fact-checking using trusted public sources and external tools.
- Generate high-quality human evaluation data by annotating response strengths areas for improvement and factual inaccuracies.
- Assess reasoning quality clarity tone and completeness of responses.
- Ensure model responses align with expected conversational behavior and system guidelines.
- Apply consistent annotations by following clear taxonomies benchmarks and detailed evaluation guidelines.
Qualifications
Must-Have
- Bachelors degree
- Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Arabic
- Significant experience using large language models (LLMs)
- Excellent writing skills
- Strong attention to detail
- Adaptable and comfortable moving across topics domains and customer requirements
- Background or experience in domains requiring structured analytical thinking
- Excellent college-level mathematics skills
Preferred
- Prior experience with RLHF model evaluation or data annotation work
- Experience writing or editing high-quality written content
- Experience comparing multiple outputs and making fine-grained qualitative judgments
- Familiarity with evaluation rubrics benchmarks or quality scoring systems
Application Process (Takes 2030 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information please check:
- For any help or support reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
Apply Now
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