Computer Coding Jobs at Rex.zone

Computer coding jobs at Rex.zone connect software engineering, ML engineering, and AI training roles into a single hiring destination. This job entity covers programmers and data labeling engineers working across RLHF pipelines, LLM training, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling to improve model performance. Candidates contribute to training data quality, annotation guidelines compliance, and large language model evaluation used in real-world AI/ML workflows. Explore remote, contract, freelance, full-time openings from AI labs, tech startups, BPOs, and annotation vendors. Apply on Rex.zone to start coding, labeling, and evaluating systems that power production AI.

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About the Role

Rex.zone aggregates computer coding jobs across software development, machine learning engineering, data labeling operations, and AI evaluation. Roles span backend and frontend engineering, data engineering, MLOps, and annotation teams for NLP, computer vision, and content safety. Work includes building APIs and data pipelines, instrumenting evaluation frameworks, executing prompt evaluation and QA checks, and maintaining training data quality for LLM training pipelines.

Key Responsibilities

Design and ship reliable code; create ETL and feature pipelines; implement evaluation harnesses; contribute to RLHF workflows; enforce annotation guidelines compliance; improve model performance through data curation; run large language model evaluation and red-teaming; perform named entity recognition and computer vision annotation; manage content safety labeling; document workflows and metrics; collaborate with AI researchers and operations teams.

Required Skills

Proficiency in Python, JavaScript/TypeScript, and one of Java/C++/Go; experience with PyTorch or TensorFlow, SQL, Git, Docker, Kubernetes, Airflow; familiarity with evaluation metrics, prompt engineering, and data labeling tools; knowledge of NLP, NER, CV annotation, content safety policies; understanding of LLM training pipelines, RLHF, reward modeling, and A/B testing; strong debugging, code quality, and reproducibility practices.

Workflows & Pipelines

You will work within AI/ML training workflows: collect and sanitize datasets; run annotation rounds with quality gates; generate preference data for RLHF; train reward models and fine-tune LLMs; instrument offline and online evaluation; monitor model performance improvement and drift; maintain CI/CD for data and models; track audit trails for training data quality and annotation guidelines compliance in production.

Job Types & Modifiers

Openings include remote, hybrid, and on-site; contract, freelance, and full-time; entry-level, mid-level, and senior/staff/principal roles. Schedules vary across global time zones with flexible arrangements. Internship and part-time opportunities may be available. Listings specify domain focus (NLP, computer vision, content safety, LLM training) and required toolchains.

Domains & Employers

Hiring partners include AI labs, tech startups, BPOs, annotation vendors, and enterprise AI teams. Domain work covers NLP pipeline development, named entity recognition, multimodal computer vision annotation, safety and policy enforcement, LLM training pipelines, and QA evaluation for customer-facing AI applications.

Compensation & Growth

Competitive pay based on role, location, and seniority, with opportunities for rapid growth into tech lead, evaluation lead, or data operations manager tracks. Benefits often include learning budgets, hardware support, and cross-functional collaboration with research teams. Performance is measured with clear KPIs: training data quality, model evaluation outcomes, and delivery reliability.

How to Apply on Rex.zone

Create your candidate profile on Rex.zone, select computer coding jobs that match your skills, and submit a tailored application. Our workflow aligns your experience with employer requirements in software engineering, ML engineering, data labeling, and evaluation. Use role filters for remote, contract, freelance, full-time, entry-level, and senior positions.

Frequently Asked Questions

  • Q: What is included under computer coding jobs at Rex.zone?

    Computer coding jobs include software developers, ML engineers, data labeling specialists, and AI evaluators working on RLHF, LLM training pipelines, prompt evaluation, QA evaluation, NER, computer vision annotation, and content safety labeling.

  • Q: Are remote and contract roles available?

    Yes. We list remote, hybrid, and on-site roles across contract, freelance, and full-time employment with entry-level to senior positions.

  • Q: Which skills help entry-level candidates stand out?

    Solid Python or JavaScript skills, knowledge of Git, SQL, basic ML concepts, and familiarity with annotation tools and evaluation metrics. Demonstrating training data quality awareness and annotation guidelines compliance is a plus.

  • Q: How do coding roles integrate with RLHF and LLM training?

    Engineers build data pipelines and evaluation systems; labeling teams generate preference and supervised datasets; analysts run large language model evaluation and QA to improve model performance within RLHF workflows.

  • Q: Which employers recruit on Rex.zone?

    AI labs, tech startups, BPOs, annotation vendors, and enterprise AI teams recruit for NLP, computer vision, content safety, and LLM training initiatives.

  • Q: How do I apply?

    Create a profile on Rex.zone, filter computer coding jobs by domain and seniority, and submit applications tailored to the required skills and workflows.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated—it's properly compensated.

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