[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-entry-level-stem-jobs-india":3},{"Ques":4,"Slug":28,"Header":29,"job_category":57},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22,25],{"A":8,"Q":9},"Yes. This posting is explicitly marked Remote and is structured for distributed work with QA calibration and clear workflows.","Are these entry-level STEM jobs in India remote?",{"A":11,"Q":12},"You will perform data labeling and QA evaluation tasks such as RLHF preference ranking, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and dataset auditing to improve training data quality.","What kind of work is involved in AI\u002FML evaluation and data labeling?",{"A":14,"Q":15},"Prior RLHF or LLM evaluation experience is helpful but not required. You must be able to follow annotation guidelines compliance, write clear rationales, and maintain high accuracy and consistency.","Do I need prior experience with RLHF or LLM evaluation?",{"A":17,"Q":18},"High training data quality reduces label noise, improves model performance improvement outcomes, and enables more reliable evaluation and alignment during LLM training pipelines.","Why does training data quality matter for large language models?",{"A":20,"Q":21},"Include STEM fundamentals, Python, SQL, data labeling, training data quality, annotation guidelines compliance, QA evaluation, RLHF, prompt evaluation, named entity recognition, NLP, computer vision annotation, content safety labeling, and dataset auditing.","What skills should I list for entry-level STEM jobs in India on Rex.zone?",{"A":23,"Q":24},"This role is FULL_TIME. Rex.zone may also list contract or freelance roles separately, but this posting is full-time.","Is this full-time or contract\u002Ffreelance?",{"A":26,"Q":27},"Rex.zone is the platform where you explore and apply, and Rexzone is the company listed for this role.","How does Rex.zone relate to Rexzone in this posting?","entry-level-stem-jobs-india",{"desc":30,"title":31,"content":32},"Rex.zone is hiring for entry-level STEM jobs in India that support real AI\u002FML engineering workflows, including training data quality, RLHF evaluation, prompt evaluation, and QA evaluation for large language models. In this remote, full-time role at Rexzone, you will help build reliable LLM training pipelines by following annotation guidelines compliance, improving model performance, and contributing to NLP, computer vision annotation, named entity recognition, and content safety labeling. If you want STEM career growth with hands-on exposure to AI labs, tech startups, BPOs, and annotation vendors, explore and apply through Rex.zone.","Entry-Level STEM Jobs in India",[33,36,39,42,45,48,51,54],{"h2":34,"desc":35},"Job Heading: Entry-Level STEM Jobs in India (Remote) — AI\u002FML Evaluation and Data Operations","Title: Entry-Level STEM Jobs in India (Remote) — AI\u002FML Evaluation and Data Operations\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: STEM fundamentals, Python, SQL, data labeling, RLHF, prompt evaluation, QA evaluation, training data quality, annotation guidelines compliance, named entity recognition, NLP, computer vision annotation, content safety labeling, LLM evaluation, model performance improvement, dataset auditing\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":37,"desc":38},"About the Role","You will support AI\u002FML teams by executing and improving data labeling and evaluation workflows used in LLM training pipelines. Your work will span RLHF tasks, prompt evaluation, QA evaluation, and training data quality checks across domains like NLP, named entity recognition, computer vision annotation, and content safety labeling. You will follow annotation guidelines compliance, document edge cases, and help reduce ambiguity so models learn consistently.",{"h2":40,"desc":41},"What You Will Do","[\"Perform data labeling for text and\u002For vision datasets to meet training data quality targets\",\"Complete RLHF-style preference ranking and response quality scoring to support model performance improvement\",\"Run prompt evaluation and QA evaluation to identify errors, hallucinations, policy violations, and formatting issues\",\"Apply named entity recognition and taxonomy tagging using clear annotation guidelines compliance\",\"Conduct content safety labeling for sensitive, policy, and restricted content categories\",\"Audit datasets for consistency, duplicates, label noise, and distribution gaps; propose fixes\",\"Write concise rationales and escalate ambiguous cases to improve guidelines\",\"Track throughput and quality metrics (accuracy, agreement rates) and participate in calibration sessions\",\"Collaborate with engineers and QA to validate changes to labeling rubrics and evaluation checklists\",\"Support experimentation by comparing model outputs across variants and documenting findings\"]",{"h2":43,"desc":44},"Who This Is For","[\"Candidates seeking entry-level STEM jobs in India with real AI\u002FML exposure\",\"Graduates in CS, IT, ECE, EE, Math, Physics, Statistics, Data Science, or related STEM fields\",\"Applicants who can reason carefully, follow policies, and maintain high attention to detail\",\"People comfortable working with structured rubrics, edge cases, and fast iteration cycles\",\"Individuals interested in AI labs, tech startups, BPOs, and annotation vendors supporting LLM development\"]",{"h2":46,"desc":47},"Required Skills","[\"STEM fundamentals and strong analytical reasoning\",\"Comfort with Python and SQL for basic data checks (filters, counts, joins) and simple scripts\",\"Understanding of NLP concepts (tokens, entities) and\u002For computer vision annotation concepts (bounding boxes, segmentation)\",\"Experience applying annotation guidelines compliance and documenting decisions\",\"Ability to perform QA evaluation, spot inconsistencies, and propose improvements\",\"Clear written communication for rationales and issue reporting\"]",{"h2":49,"desc":50},"Nice to Have","[\"Prior exposure to RLHF tasks, preference ranking, or evaluation rubrics\",\"Familiarity with content safety labeling, policy taxonomies, and red-teaming concepts\",\"Experience with dataset auditing, inter-annotator agreement, or quality sampling\",\"Knowledge of LLM evaluation methods (rubric scoring, pairwise comparisons, error categorization)\",\"Experience supporting remote teams across time zones\"]",{"h2":52,"desc":53},"Working Model and Team","This is a Remote, FULL_TIME role with structured daily workflows, QA checks, and calibration sessions to keep labels consistent. You will collaborate with engineering and QA stakeholders to ensure datasets meet training data quality standards and improve model performance over time.",{"h2":55,"desc":56},"How to Apply on Rex.zone","[\"Search Rex.zone for 'Entry-Level STEM Jobs in India' to find the matching posting\",\"Submit your application with a resume highlighting STEM coursework\u002Fprojects and any labeling\u002Fevaluation exposure\",\"Be prepared for a short evaluation focused on annotation guidelines compliance, QA evaluation, and reasoning\",\"If selected, complete onboarding and start contributing to LLM training pipelines\"]","Engineering"]