Remote STEM Engineer (India) — AI/ML Data Operations
Rex.zone · United States
- Hybrid
- Full-time
- $83,200 / year
- United States
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Job highlights
- Support AI/ML training pipelines remotely.
- Work on data labeling and LLM evaluation.
- Collaborate with global, distributed teams.
- Improve model performance across various tasks.
- Utilize Python for automation and quality metrics.
About the role
About The Role
Remote STEM Jobs in India at Rex.zone focus on applied engineering work that supports AI/ML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language models. You will collaborate with globally distributed teams to produce high-quality training data and improve model performance across NLP, computer vision, and content safety labeling workflows.
Key Responsibilities
- Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks.
- Implement RLHF and prompt evaluation protocols using well-defined rubrics and calibration.
- Define and enforce annotation guidelines compliance; maintain edge-case documentation.
- Run QA evaluation audits, spot checks, inter-annotator agreement analysis, and error taxonomy tracking.
- Curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence.
- Use Python and data tooling to automate checks, sampling plans, reporting, and quality metrics.
Required Qualifications
- Mid-senior STEM/engineering background (CS, EE, math, physics, statistics, or related).
- Strong Python skills; comfort with structured and unstructured data.
- Practical understanding of LLM evaluation, data labeling, and QA evaluation concepts.
- Experience with NLP tasks (e.g., NER, text classification, relevance ranking, summarization).
- Ability to interpret guidelines, resolve ambiguity, and communicate asynchronously in a remote setting.
Preferred Qualifications
- Experience with RLHF pipelines, preference ranking, or rubric-based evaluation.
- Familiarity with computer vision annotation (bounding boxes, polygons, segmentation).
- Experience building quality systems (sampling, audits, calibration sessions, disagreement resolution).
- Exposure to content safety labeling or trust & safety workflows.
Compensation
Competitive hourly base pay: $30–$50 per hour
How To Apply
Visit Rex.zone and search for “Remote STEM Jobs in India” to find matching roles and apply. Highlight STEM engineering impact, Python/data tooling, and experience with data labeling, RLHF, LLM evaluation, training data quality, and annotation guidelines compliance.
Key skills/competency
- STEM Engineering
- AI/ML Data Operations
- Python
- Data Labeling
- RLHF Evaluation
- LLM Evaluation
- QA Evaluation
- NLP
- Computer Vision
- Data Quality Assurance
Skills & topics
- STEM Engineer
- AI/ML
- Data Operations
- Python
- Data Labeling
- LLM Evaluation
- RLHF
- QA Evaluation
- NLP
- Computer Vision
- Remote
- India
How to get hired
- Tailor your resume: Emphasize STEM engineering impact, Python/data tooling proficiency, and experience with data labeling, RLHF, and LLM evaluation.
- Highlight compliance: Showcase your experience with training data quality and annotation guidelines compliance in your application.
- Navigate the application: Visit Rex.zone, search for "Remote STEM Jobs in India", and follow the application instructions.
- Prepare for remote collaboration: Demonstrate your ability to interpret guidelines and communicate asynchronously.
Technical preparation
Master Python for data manipulation and automation.,Familiarize with LLM evaluation and data labeling.,Practice NLP tasks like NER and classification.,Understand QA concepts and quality metrics.
Behavioral questions
Demonstrate problem-solving in ambiguous guideline interpretation.,Showcase effective asynchronous communication skills.,Provide examples of quality assurance experience.,Discuss collaboration in distributed, remote teams.
Frequently asked questions
- What is the work arrangement for the Remote STEM Engineer AI/ML Data Operations role at Rex.zone?
- This is a fully remote position, allowing you to work from India. You will be collaborating with globally distributed teams.
- What specific AI/ML tasks will a Remote STEM Engineer at Rex.zone be involved in?
- The role involves applied engineering work for AI/ML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language models.
- What are the minimum qualifications for the Remote STEM Engineer AI/ML Data Operations position?
- A mid-senior STEM/engineering background (CS, EE, math, physics, statistics, or related), strong Python skills, practical understanding of LLM evaluation, data labeling, QA concepts, and experience with NLP tasks are required.
- How does Rex.zone ensure data quality in their AI/ML training pipelines?
- Rex.zone emphasizes robust QA evaluation, including audits, spot checks, inter-annotator agreement analysis, and error taxonomy tracking, to ensure high-quality training data.
- What kind of NLP tasks can I expect to work on as a Remote STEM Engineer at Rex.zone?
- You can expect to work on tasks such as named entity recognition, text classification, relevance ranking, summarization, and ensuring safety policy adherence.
- Is there a preference for candidates with experience in specific areas like RLHF or computer vision?
- Yes, preferred qualifications include experience with RLHF pipelines, preference ranking, rubric-based evaluation, and familiarity with computer vision annotation.
- How can I stand out when applying for this Remote STEM Engineer role at Rex.zone?
- Highlight your STEM engineering impact, proficiency with Python and data tooling, and specific experience in data labeling, RLHF, LLM evaluation, and maintaining training data quality and annotation guidelines.