STEM Engineering Jobs in India

STEM Engineers in India design, build, test, and optimize real-world engineering systems while supporting modern AI/ML development workflows across Rex.zone. In this remote, full-time role, you will collaborate with distributed engineering teams and contribute to data-driven product engineering, model-integrated systems, and quality-focused delivery. Your work may intersect with large language model evaluation, training data quality, QA evaluation, and prompt evaluation processes that improve model performance and reliability. Rex.zone connects you to technology employers including AI labs, tech startups, BPOs, and engineering vendors, with clear expectations, measurable outputs, and production-grade engineering standards.

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STEM Engineering Jobs in India — LinkedIn Job Metadata

Title: STEM Engineering Jobs in India | Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: STEM engineering, systems engineering, software engineering, data engineering, quality assurance, model evaluation, LLM evaluation, prompt evaluation, training data quality, annotation guidelines compliance, NLP, computer vision, content safety labeling, data labeling, RLHF | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR

About the Role

You will work as a remote STEM engineer supporting end-to-end engineering delivery for technology teams, with opportunities to interface with AI/ML training pipelines. Depending on project needs, you may help define requirements, implement systems, validate outputs, and improve reliability through test plans, instrumentation, and QA gates. You will also collaborate with cross-functional partners on evaluation workflows (e.g., LLM evaluation, prompt evaluation, and QA evaluation) that strengthen training data quality and model performance improvement.

Key Responsibilities

Deliver engineering solutions across analysis, design, implementation, testing, and maintenance; contribute to systems engineering and software engineering deliverables with clear acceptance criteria; support data engineering needs such as pipelines, data validation, and reproducibility; implement quality assurance practices including test strategy, regression testing, and defect triage; participate in evaluation workflows that may include LLM evaluation, prompt evaluation, and QA evaluation; improve training data quality through annotation guidelines compliance, sampling strategies, and feedback loops; collaborate with stakeholders across AI labs, tech startups, BPOs, and engineering vendors.

Required Qualifications

Mid-Senior engineering experience in one or more STEM domains (software, systems, data, test, or platform engineering); strong problem-solving, debugging, and root-cause analysis skills; ability to translate ambiguous requirements into deliverable milestones; experience with quality assurance practices and measurable quality metrics; familiarity with AI/ML concepts and evaluation workflows (e.g., RLHF, data labeling, QA evaluation, prompt evaluation) is preferred; strong written communication for documentation, decision logs, and technical reviews.

Preferred Experience

Exposure to NLP or computer vision project contexts; experience working with content safety labeling or policy-driven validation; hands-on work with training data pipelines, dataset versioning, and data quality controls; experience improving model-integrated product reliability through monitoring, evaluation, and experimentation; experience collaborating across time zones and remote-first delivery.

How You Will Be Evaluated

On-time delivery against defined milestones; engineering quality measured by defect rate, test coverage, and operational stability; clarity and completeness of documentation and design decisions; measurable contributions to training data quality, annotation guidelines compliance, and evaluation throughput where applicable; collaboration effectiveness across cross-functional teams.

Work Model and Location

Remote-first, full-time role aligned to India-based candidates while supporting US-based company operations. You will coordinate with distributed teams, maintain reliable overlap hours as needed, and follow structured delivery processes.

Apply on Rex.zone

Explore and apply for STEM engineering jobs in India through Rex.zone. Keep your profile up to date with your engineering domain, systems experience, and any AI/ML evaluation exposure (RLHF, data labeling, QA evaluation, prompt evaluation) to match with relevant remote full-time opportunities.

Frequently Asked Questions

  • Q: What does “STEM engineering jobs in India” mean on Rex.zone?

    It refers to engineering roles suitable for India-based candidates, spanning software engineering, systems engineering, data engineering, and QA-focused engineering, posted and matched through Rex.zone for remote full-time work.

  • Q: Is this role remote and full-time?

    Yes. The role is marked Remote and FULL_TIME, and projects are delivered with remote-first collaboration and structured milestones.

  • Q: Do I need AI/ML experience to apply?

    Not strictly, but familiarity with AI/ML workflows is beneficial. Some projects may involve LLM evaluation, prompt evaluation, QA evaluation, training data quality processes, data labeling, and RLHF-adjacent feedback loops.

  • Q: What kinds of employers might hire through Rex.zone?

    Rex.zone may connect candidates with technology employers such as AI labs, tech startups, BPOs, and engineering or annotation vendors, depending on project needs.

  • Q: What skills should I highlight for STEM engineering jobs in India?

    Highlight your core engineering domain (systems, software, data, QA), delivery track record, and quality practices. If applicable, include NLP, computer vision, content safety labeling, annotation guidelines compliance, and evaluation experience tied to model performance improvement.

  • Q: What is the compensation range listed for this posting?

    The salary range is USD 63360 to 126720 per year, depending on scope, fit, and project requirements.

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