Part-Time Software Engineering Jobs (Remote & Hybrid)

Rex.zone offers part-time software engineering jobs—remote, contract, and freelance—across backend, frontend, data engineering, and MLOps that connect directly to AI/ML training workflows. Engineers build services and tooling for RLHF (Reinforcement Learning from Human Feedback), data labeling pipelines, prompt evaluation dashboards, named entity recognition services, computer vision annotation tools, content safety labeling systems, and large language model evaluation. Roles span entry-level to senior and include work with AI labs, tech startups, BPOs, and annotation vendors. Apply to improve training data quality, ensure annotation guidelines compliance, accelerate model performance improvement, and ship production-grade features for NLP, computer vision, and LLM training. Explore and apply on Rex.zone to start flexible part-time software engineering work that matters.

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About the Role

Part-time software engineering roles on Rex.zone let you contribute to high-impact AI/ML products while maintaining a flexible schedule. You will design and build production-grade services that support LLM training pipelines, RLHF feedback collection, dataset curation, and evaluation workflows. Typical missions include implementing secure APIs, scalable microservices, robust frontends, and data processing jobs that enable training data quality, annotation guidelines compliance, and model performance improvement across NLP, computer vision, and content safety domains.

Key Responsibilities

Design and implement backend APIs and microservices; build frontends and dashboards for prompt evaluation and human-in-the-loop review; create ETL/data pipelines for labeling, NER, and computer vision annotation; integrate observability, CI/CD, test automation, and feature flags; support large language model evaluation, offline metrics, and A/B testing; enable content safety labeling and policy tooling; collaborate with ML practitioners on dataset versioning, evaluation harnesses, and MLOps; ensure privacy, security, and reliability in production.

Required Skills

Proficiency in Python, TypeScript/Node.js, or Go/Java; experience with REST/gRPC, GraphQL, and event-driven systems; familiarity with cloud services (AWS, GCP, Azure), containers (Docker), orchestration (Kubernetes), and CI/CD; strong SQL and NoSQL fundamentals; understanding of data modeling and ETL; knowledge of ML evaluation concepts and LLM training pipelines is a plus; ability to write clean, tested code and collaborate asynchronously across remote teams.

Preferred Experience

Background in RLHF systems, labeling ops, or annotation tooling; building prompt evaluation dashboards and metrics; implementing named entity recognition services and CV preprocessing; integrating human feedback collection UIs; working with content safety policy engines and moderation workflows; experience with dataset version control, offline evaluation frameworks, and model performance monitoring.

Domains & Project Types

NLP microservices, LLM fine-tuning support, prompt evaluation, RLHF tooling; computer vision annotation platforms, image/video preprocessing, detection/segmentation pipelines; content safety labeling systems, policy enforcement, trust & safety automation; data engineering for training data quality, annotation guidelines compliance, and large language model evaluation.

Work Arrangements & Modifiers

Remote, hybrid, and on-site options; contract, freelance, and part-time engagements with potential temp-to-hire; entry-level internships and junior roles available alongside senior and staff-level positions; time-zone flexible with some roles requiring limited overlap; opportunities to work across AI labs, tech startups, BPOs, and annotation vendors.

Employers Hiring on Rex.zone

AI research labs building cutting-edge LLMs; venture-backed tech startups scaling AI features; BPOs and managed service providers operating labeling and QA evaluation programs; enterprise teams deploying NLP, computer vision, and content safety solutions; specialized annotation vendors focused on training data quality and compliance.

Compensation & Benefits

Competitive hourly and milestone-based pay aligned with experience and domain complexity; part-time contracts typically range from 10–25 hours per week; access to diverse projects, mentorship, and cross-functional collaboration; remote-first tooling and transparent communication; performance-based extensions or full-time conversion opportunities.

How to Apply on Rex.zone

Create a profile on Rex.zone, verify your skills and preferred stack, and set your availability. Browse curated part-time listings by domain (NLP, computer vision, content safety, RLHF), employer type, and experience level. Submit one-click applications, attach code samples or portfolios, and track application status. Our matching signals prioritize relevant n-grams, demonstrated experience, and project outcomes.

Frequently Asked Questions

  • Q: What is a part-time software engineer role on Rex.zone?

    It’s a flexible engineering position—remote, contract, or freelance—building production systems that support AI/ML training workflows, including RLHF, data labeling, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and large language model evaluation.

  • Q: Are remote and hybrid options available?

    Yes. Most roles are remote-first, with some hybrid or on-site options depending on the employer. Some projects require limited time-zone overlap for stand-ups, code reviews, or release windows.

  • Q: Do I need machine learning experience?

    Not always. Strong software fundamentals are the priority. Experience integrating ML evaluation metrics, dataset tooling, or LLM training pipelines is a plus and will increase your match rate on Rex.zone.

  • Q: What tech stacks are common?

    Python, TypeScript/Node.js, React, Go, and Java are common, along with REST/gRPC, GraphQL, Docker, Kubernetes, CI/CD, AWS/GCP/Azure, and SQL/NoSQL databases. Roles in data engineering and MLOps might use Airflow, dbt, Spark, or similar tools.

  • Q: Which employers hire part-time engineers?

    AI labs, tech startups, BPOs, annotation vendors, and enterprises. Projects range from building labeling platforms and evaluation dashboards to scaling NLP and computer vision microservices.

  • Q: How are hours and contracts structured?

    Typical engagements are 10–25 hours per week, milestone-based or hourly. Models include contract, freelance, and temp-to-hire. Entry-level, junior, senior, and staff roles are available.

  • Q: How can I stand out when applying?

    Show project outcomes and metrics—latency reductions, cost savings, model performance improvement, and training data quality wins. Share repos, micro-case studies, and examples of annotation guidelines compliance or evaluation tooling.

  • Q: What is RLHF and how might I contribute?

    RLHF pairs human feedback with model training. Engineers contribute by building feedback collection UIs, reward model services, safe rollout pipelines, and evaluation dashboards that track quality and safety.

  • Q: Is full-time conversion possible?

    Yes. Many employers on Rex.zone start with part-time contracts and convert to full-time after successful project delivery and team fit.

  • Q: How do I apply on Rex.zone?

    Create your profile, select preferred domains (NLP, computer vision, content safety, LLM training), verify skills, and apply directly to curated listings. You can track status and communicate with hiring teams inside Rex.zone.

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50+Countries Represented

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