Coding Jobs (Remote) — Rex.zone

Remote coding jobs on Rex.zone connect software engineers and ML practitioners to AI training and evaluation workflows. These roles span backend and data engineering, evaluation engineering, and applied ML supporting RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines. The intent is hiring candidates who build reliable systems for training data quality, annotation guidelines compliance, model performance improvement, and large language model evaluation. Apply to discover remote, contract, freelance, and full-time opportunities at AI labs, tech startups, BPOs, and annotation vendors through Rex.zone’s curated platform.

About the Roles

Join remote coding roles that power AI training pipelines and evaluation systems. You will build services, data flows, evaluation harnesses, and tooling that deliver high-quality training data and model metrics for NLP, computer vision, and content safety applications.

Key Responsibilities

Design APIs and microservices, implement dataset curation and labeling operations, automate QA evaluation and prompt evaluation, integrate NER and CV annotation workflows, and ship dashboards for training data quality and large language model evaluation.

Required Skills

Strong coding in Python or TypeScript/JavaScript, SQL and data modeling, cloud services (AWS, GCP, Azure), Git, Docker, Kubernetes, REST/GraphQL, exposure to PyTorch or TensorFlow, and familiarity with evaluation frameworks, data labeling platforms, and MLOps best practices.

Work Options & Modifiers

Openings include remote, contract, freelance, and full-time roles across entry-level, mid-level, and senior tracks. Flexible schedules and time-zone friendly teams are available depending on project and employer requirements.

Domains We Hire For

NLP, computer vision, content safety, LLM training and RLHF, information extraction and named entity recognition, prompt engineering, and model performance improvement via systematic evaluation.

Employers on Rex.zone

AI labs, tech startups, BPOs, annotation vendors, and enterprise product teams hire through Rex.zone for scalable data engineering, labeling workflow automation, and evaluation engineering.

Impact

Your code will improve annotation guidelines compliance, accelerate model iteration cycles, and deliver measurable gains in accuracy, robustness, and safety across production AI systems.

Tools & Stack

Work with experiment tracking, evaluation harnesses, data versioning, labeling orchestration, observability, and CI/CD pipelines to maintain reliability and reproducibility in LLM training pipelines.

Compensation

Competitive pay aligned to experience, role level, and region. Contract and freelance rates vary by scope; full-time offers include benefits from participating employers.

How to Apply

Create a profile on Rex.zone and submit your application to relevant remote coding openings. Our team and partner employers review continuously and contact qualified candidates.

Frequently Asked Questions

Q: What types of remote coding jobs are available on Rex.zone?
Roles include backend and data engineering, evaluation engineering, applied ML, and platform work supporting RLHF, data labeling, QA evaluation, prompt evaluation, NER, computer vision annotation, content safety labeling, and LLM training pipelines.
Q: Do I need prior experience with AI or data labeling?
Experience with ML workflows, evaluation frameworks, or labeling operations is preferred but not always required. Entry-level roles focus on reliable coding, data hygiene, and test coverage while learning AI training systems.
Q: Which programming languages and tools are most common?
Python, TypeScript/JavaScript, SQL, REST/GraphQL APIs, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Familiarity with PyTorch or TensorFlow, experiment tracking, and evaluation harnesses is valuable.
Q: Are there contract, freelance, and full-time options?
Yes. Rex.zone lists remote contract, freelance, and full-time positions across entry-level, mid-level, and senior tracks. Filters help you find the engagement model that fits your availability.
Q: Which employers hire through Rex.zone?
AI labs, tech startups, BPOs, annotation vendors, and enterprise product teams post roles on Rex.zone to scale training data quality, labeling workflows, and model performance improvement.
Q: How does my work impact model performance?
You’ll implement systems for training data quality, annotation guidelines compliance, and robust evaluation, enabling faster iteration cycles and measurable improvements in accuracy, safety, and reliability.
Q: How do I apply and track my applications?
Create a profile on Rex.zone, apply to relevant roles, and use the candidate dashboard to track progress. Employers review continuously and reach out for interviews when you match requirements.
Q: Is there support for different time zones?
Most roles are fully remote with distributed teams. Job listings specify time-zone overlap requirements and meeting windows to ensure smooth collaboration.

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.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

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