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Entry Level AI Jobs in India

Rex.zone··Various

Hourly pay

$30–50/hr

per hour

Schedule

Set shift

~40 hrs/wk

Type

Full time

Fully remote · US

Experience

1+ yr

No degree required

Apply now
Apply directly on Rex.zone career site · ~2 min·0 viewed today

The quick read

Rex.zone offers an entry-level remote data labeling job to improve AI training workflows. The role involves creating and reviewing datasets while following guidelines. It's a full-time position with a competitive pay range of $30-$50 per hour. Ideal for detail-oriented candidates with strong English skills, this role supports the development of large language models.

What we like about this job

  • Top-tier cushy score — predictable schedule, steady pay, low stress
  • Pays $30/hr+ — above the cushy median
  • No degree required
  • No phone work — chat / email / async only

Skills you'll use

  • data labeling
  • attention to detail
  • English proficiency

Schedule

Remote type
Fully remote, US-based
Hours
40 hrs/week
Time zone
Various
Weekends
Standard
Shift options
Flexibility
Set schedule

Full 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).

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Time to apply: ~2 minutes on Rex.zone career site
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