Software Engineering Jobs at Rex.zone

Software engineering jobs on Rex.zone connect skilled engineers with high-impact roles across AI labs, tech startups, BPOs, and annotation vendors. This page defines the software engineering job entity, clarifies hiring intent, and links engineering work to real-world AI/ML training workflows—like LLM training pipelines, RLHF (Reinforcement Learning from Human Feedback), data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. Explore remote, contract, freelance, full-time, entry-level, and senior openings. Start discovering vetted opportunities and apply directly on Rex.zone.

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About the Role: Software Engineering Jobs as a Search-Recognizable Entity

Software engineering jobs on Rex.zone span the full stack of modern software development with strong emphasis on AI-powered products and ML infrastructure. Roles include backend, frontend, full stack, platform engineering, SRE, DevOps/MLOps, data engineering, and applied machine learning engineering. Engineers build distributed systems, scalable APIs, model-serving layers, and developer tooling that powers LLM training pipelines, RLHF integrations, and analytics for training data quality. Because many employers operate in AI domains, engineers collaborate with data scientists, annotation teams, and QA specialists to enforce annotation guidelines compliance, streamline prompt evaluation, and improve model performance. Whether you prefer remote work, contract projects, or full-time roles, the marketplace centralizes vetted employers and transparent offers.

Key Responsibilities

Responsibilities vary by specialization but share a common production-first mindset, strong code quality, and measurable outcomes aligned with ML and product goals. Engineers ship services that foster annotation guidelines compliance, automate prompt evaluation pipelines, and reduce inference costs while improving reliability.

Skills and Qualifications

Successful candidates blend core software engineering fundamentals with domain-specific knowledge for AI systems and data-centric workflows. Strong communication and rigorous documentation help teams maintain velocity while satisfying compliance requirements common across regulated industries.

Domains and Specializations

Rex.zone curates openings across cross-functional domains. Engineers can target high-interest teams to accelerate learning and impact.

Search Modifier Coverage: Work Styles and Levels

The marketplace supports multiple hiring modes and seniority levels to match your preferred engagement model and career stage.

Employers on Rex.zone

We partner with diverse employer types operating at the frontier of AI and scaled software systems. Each posting includes transparent requirements and context on ML training workflows.

N-gram Relevance: How We Speak Your Language

To align with how professionals search, our copy uses natural unigrams, bigrams, and trigrams common to AI engineering and data-centric development. This helps your profile appear next to work you actually want.

Tools and Technology Stack

You’ll operate modern stacks that are battle-tested for production reliability and ML scalability. Employers value practical experience and curiosity to learn.

Career Growth and Impact

Software engineering jobs in AI-centric organizations provide visible, measurable outcomes. You’ll improve model performance via reliable pipelines, optimized data flows, and a disciplined evaluation cadence. Mentorship and leadership tracks include architecture councils, incident review panels, and contributions to shared libraries. Engineers advance by owning mission-critical services, reducing cost-per-inference, improving training data quality, and driving annotation guidelines compliance. The impact is felt from better user experiences to ethical content safety labeling and responsible ML deployment.

How Hiring Works on Rex.zone

Rex.zone simplifies your search with domain-aware filters and transparent job descriptions. Our application flow prioritizes outcomes and clarity.

Compensation and Benefits

Comp packages vary by geography, seniority, and company stage. Remote roles often include benefits comparable to local full-time positions. Contract and freelance work may include milestone-based bonuses for delivering measurable improvements such as reduced inference latency or higher annotation compliance rates.

Apply Now: Transactional Intent

Ready to accelerate your career? Browse live software engineering jobs and apply on Rex.zone today. You’ll find role clarity, practical evaluation tasks, and teams serious about impact. Remote, contract, freelance, and full-time roles available. Entry-level and senior tracks are open for candidates committed to shipping reliable systems in AI/ML settings.

Navigational Intent: Why Rex.zone

Rex.zone is built for engineers and hiring teams at the intersection of software, data, and AI. Our structured job metadata and domain tags ensure relevant matches. You can pivot between NLP, computer vision, content safety labeling, and general platform engineering roles without losing context. Start at Rex.zone, refine your search, and track applications in one place.

Frequently Asked Questions

  • Q: What types of software engineering jobs are available on Rex.zone?

    You’ll find backend, frontend, full stack, platform, SRE/DevOps, MLOps, data engineering, and ML engineering roles. Many posts align with AI domains, including LLM training pipelines, RLHF integrations, NLP and computer vision systems, annotation tooling, and content safety labeling.

  • Q: Are remote and contract roles available?

    Yes. We support remote, contract, freelance, and full-time openings across entry-level and senior positions. You can filter by engagement model and seniority.

  • Q: How do software engineering jobs connect to AI/ML training workflows?

    Engineers build pipelines and services that process labeled datasets, automate prompt evaluation, integrate RLHF feedback loops, enforce annotation guidelines compliance, and monitor training data quality. This work directly drives model performance improvement.

  • Q: What skills help me stand out?

    Production experience in Python/TypeScript/Go/Java, cloud infrastructure (AWS/GCP/Azure), containers/Kubernetes, streaming (Kafka), CI/CD, and ML/LLM tooling. Demonstrable projects that show RLHF evaluation harnesses, data labeling QA, prompt evaluation, and privacy engineering are highly valued.

  • Q: Do you list jobs from AI labs, startups, BPOs, and annotation vendors?

    Yes. Rex.zone partners with diverse employer types so you can target the environment and mission that best match your goals.

  • Q: Is there support for entry-level candidates?

    Many teams offer mentorship pathways. Highlight coursework, internships, open-source contributions, and projects that demonstrate data pipelines, model-serving layers, or evaluation tooling.

  • Q: How should I prepare for interviews?

    Expect practical tasks: designing APIs, building data validation services, integrating prompt evaluation, or instrumenting RLHF feedback loops. Prepare repo links, tests, and deployment notes.

  • Q: How do I start?

    Create your profile on Rex.zone, set search modifiers, explore curated listings, and apply to roles that match your domain and engagement preferences.

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

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Software Engineering?

Apply Now.