Entry Level AI Jobs in India

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

Job summary

A leading AI training company is seeking a Remote Annotator to support human-in-the-loop AI training workflows for large language models. This role involves reviewing labeled datasets, performing evaluations for helpfulness and safety, and ensuring quality in training data. Strong written English and attention to detail are essential. Competitive hourly compensation of $30–$50 is offered, making it suitable for detail-oriented individuals interested in AI training.

Qualifications

• Strong written English and structured reasoning.
• Ability to follow detailed annotation guidelines.
• Comfort using spreadsheets and web tools.
• Familiarity with model evaluation and prompt patterns.
• Attention to detail with QA evaluation.
• Comfort handling sensitive content for safety labeling.

Responsibilities

• Create and review labeled datasets for various use cases.
• Perform RLHF preference ranking and scoring.
• Run evaluations for helpfulness and safety.
• Execute content safety labeling for various policies.
• Conduct QA evaluation via audits and tracking.
• Track metrics impacting LLM training.

Skills

Strong written English

Detailed annotation guidelines

Spreadsheets and web tools

Model evaluation familiarity

Attention to detail

Content safety handling

Job description

About The Role

Support human-in-the-loop AI training workflows for large language models and multimodal systems. You will improve training data quality by completing data labeling, RLHF preference ranking, prompt evaluation, and QA evaluation tasks using structured annotation tools and written guidelines.

Key Responsibilities

• Create and review labeled datasets for NLP, computer vision, and multimodal use cases
• Perform RLHF preference ranking and rubric-based scoring
• Run prompt and response evaluations for helpfulness, factuality, and safety
• Execute content safety labeling (policy, harassment, self-harm, sensitive categories)
• Follow annotation guidelines and document rationales for edge cases
• Conduct QA evaluation via sampling plans, audits, and error taxonomy tracking
• Participate in calibration sessions to reduce rater variance and improve agreement
• Track throughput and quality metrics that impact LLM training pipelines

Required Qualifications

• Strong written English and structured reasoning
• Ability to follow detailed annotation guidelines with consistent judgment
• Comfort using spreadsheets, web tools, or labeling interfaces
• Familiarity with model evaluation and prompt/response patterns
• Attention to detail and evidence-based QA evaluation approach
• Comfort handling sensitive content as part of content safety labeling

Work Details

Remote, full-time work delivered through online tooling and written annotation guidelines. Quality is measured via audits, disagreement rates, rubric adherence, and training data quality outcomes.

Compensation

Competitive hourly rate: $30–$50/hr (USD).