Entry Level AI Jobs in India
Rex.zone · United States
- Hybrid
- Full-time
- $93,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train AI models using data labeling and evaluation.
- Work with large language and multimodal systems.
- Ensure data quality through detailed annotation tasks.
- Remote, full-time role with flexible hours.
- Competitive hourly rate of $30-$50 USD.
About the role
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).
Key skills/competency
- AI Training
- Data Labeling
- RLHF
- NLP
- Computer Vision
- Multimodal Systems
- Prompt Evaluation
- QA Evaluation
- Content Safety
- LLM
Skills & topics
- AI Trainer
- Data Labeling
- RLHF
- NLP
- Computer Vision
- Multimodal AI
- Prompt Engineering
- QA Evaluation
- Content Moderation
- Large Language Models
- AI Jobs India
- Remote Jobs
- Entry Level
How to get hired
- Tailor your resume: Highlight experience with data labeling, AI training, or annotation tools. Emphasize structured reasoning and attention to detail.
- Showcase relevant skills: Clearly list proficiency in English, comfort with web tools, and any familiarity with NLP, computer vision, or LLMs.
- Address content sensitivity: If comfortable, mention experience or willingness to handle sensitive content ethically.
- Prepare for evaluation: Be ready to discuss how you follow guidelines, maintain consistent judgment, and ensure data quality during the interview process.
Technical preparation
Practice data annotation tools and interfaces.,Review NLP, CV, and multimodal concepts.,Understand prompt/response evaluation methods.,Familiarize with content safety guidelines.
Behavioral questions
How do you ensure consistency in labeling?,Describe a time you followed complex guidelines.,How do you handle sensitive or ambiguous data?,How do you approach quality assurance tasks?
Frequently asked questions
- What are the primary responsibilities for an Entry Level AI Trainer at Rex.zone?
- As an Entry Level AI Trainer at Rex.zone, your primary responsibilities will involve supporting AI training workflows. This includes data labeling for NLP, computer vision, and multimodal systems, performing RLHF preference ranking, evaluating prompts and responses for quality and safety, and executing content safety labeling. You will follow detailed annotation guidelines and conduct QA evaluations.
- What qualifications are essential for this AI Trainer role at Rex.zone?
- Essential qualifications for this role include strong written English and structured reasoning abilities. You must be able to follow detailed annotation guidelines with consistent judgment, be comfortable using web tools and labeling interfaces, and possess an attention to detail for evidence-based QA evaluation. Familiarity with model evaluation and prompt/response patterns is also beneficial.
- Is this an entry-level position, and what is the work arrangement?
- Yes, this is an entry-level position. The work arrangement is fully remote and full-time. You will utilize online tooling and written annotation guidelines to perform your tasks from anywhere.
- What is the compensation for the Entry Level AI Trainer role at Rex.zone?
- Rex.zone offers a competitive hourly rate for this position, ranging from $30 to $50 USD per hour. This rate reflects the important nature of contributing to AI training data quality.
- How is quality measured for AI Trainers at Rex.zone?
- Quality for AI Trainers at Rex.zone is rigorously measured through various methods including audits, disagreement rates among raters, adherence to established rubrics, and the overall quality outcomes of the training data produced. Calibration sessions are also held to ensure consistency.
- Will I be working with sensitive content in this AI Trainer role?
- Yes, comfort handling sensitive content is a required qualification, as the role includes executing content safety labeling. Rex.zone ensures that appropriate guidelines and support are in place for this aspect of the work.