Coding jobs are search-recognizable software engineering roles where developers design, build, and maintain applications, data systems, and AI/ML pipelines. This page clarifies what coding jobs mean, how they fit into real-world workflows like the software development lifecycle, Git-based version control, CI/CD, code review, and AI training processes. In AI contexts, work may touch RLHF, data labeling, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines. Explore openings and apply directly on Rex.zone, a platform connecting talent with employers across tech startups, AI labs, enterprises, BPOs, and annotation vendors, with remote, contract, freelance, and full-time options.
“Coding jobs” encompass software engineer, developer, programmer, and research engineer roles across backend, frontend, full‑stack, mobile, data engineering, MLOps, and machine learning engineering. Work spans feature development, API design, systems integration, performance optimization, and productionizing models. In AI, coding jobs often intersect with LLM training pipelines, evaluation tooling, and data-centric workflows that support model performance improvement.
Own end‑to‑end software development lifecycle: requirements, design, implementation, testing, code review, deployment, monitoring, and iterative improvement. Build CI/CD pipelines, instrument logging and observability, and enforce secure coding practices. For AI/ML teams, contribute to training data quality, annotation guidelines compliance, model performance improvement, large language model evaluation, RLHF experimentation, evaluation frameworks, and scalable data processing.
In‑demand skills include Python, JavaScript/TypeScript, Go, Java, and C++. Frameworks and platforms: React, Node.js, Django, Flask, FastAPI, PyTorch, TensorFlow, Spark, Airflow. DevOps and MLOps: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions. Cloud: AWS, GCP, Azure. Data: SQL, NoSQL, APIs, ETL. Quality: unit testing frameworks, integration tests, static analysis, secure coding, documentation.
Openings include remote, hybrid, onsite; contract, freelance, full‑time; entry‑level, mid, senior, staff, principal. Domain coverage spans web platforms, data engineering, NLP, computer vision, content safety, LLM training pipelines, and developer tools. Employers include AI labs, tech startups, enterprises, BPOs, and annotation vendors hiring for platform engineering, product engineering, and research engineering.
Join product engineering, platform engineering, data platform, MLOps, applied research, content safety engineering, and evaluation tooling teams. Roles may focus on scalable APIs, microservices, data pipelines, experiment management, model serving, monitoring, and compliance for regulated domains.
Compensation varies by location, company stage, and seniority. Packages may include base salary, equity, bonuses, and benefits. Career growth includes expanding technical scope, system design leadership, mentorship, and cross‑functional collaboration with data scientists, annotators, and QA evaluators.
Create a Rex.zone profile, upload your resume and portfolio, select preferences (remote, contract, full‑time, entry‑level or senior), and complete role‑relevant coding assessments. Set job alerts, apply to curated postings, track application status, and schedule interviews directly through Rex.zone.
A coding job is a software development role where you write, test, and ship code for applications, data systems, and AI/ML pipelines. It covers backend, frontend, full‑stack, data engineering, MLOps, and ML engineering.
Developers build data ingestion, labeling tools, evaluation services, and training pipelines. Work may involve RLHF, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and large language model evaluation to improve model performance.
Python, JavaScript/TypeScript, Go, Java, C++, React, Node.js, Django, Flask, PyTorch, TensorFlow, SQL, Docker, Kubernetes, Terraform, Git, CI/CD tools, and AWS/GCP/Azure.
Software development lifecycle (SDLC), agile sprint planning, code review, unit and integration testing, continuous integration and deployment, observability, and secure coding practices.
Yes. Rex.zone lists remote, hybrid, onsite, contract, freelance, and full‑time openings across entry‑level to senior positions.
Web platforms, data engineering, NLP, computer vision, content safety, developer tools, and LLM training infrastructure at AI labs, tech startups, enterprises, BPOs, and annotation vendors.
Entry‑level engineers demonstrate core programming, testing, and collaboration skills. Senior engineers own system design, architecture, reliability, security, mentoring, and cross‑team leadership.
Sign up, complete your profile, set preferences, take coding assessments, and apply to targeted postings. Use job alerts and track interview steps in Rex.zone.
Not always. Many employers accept equivalent experience, strong portfolios, open‑source contributions, and practical project outcomes.
Screening, technical assessments, pair programming, system design, and behavioral interviews. Some AI roles include data workflows, evaluation tasks, or ML pipeline discussions.
Clear project outcomes, tests and documentation, measurable impact (performance, reliability), contributions to CI/CD, and familiarity with AI data/evaluation workflows when relevant.
When provided by employers, ranges are shown. Compensation depends on location, role, and seniority; many listings include base, equity, and benefits.
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