Coding Jobs Salary — Apply for Software & ML Roles at Rex.zone

Rex.zone’s Coding Jobs Salary page defines the software engineer / developer job entity and helps candidates explore compensation, responsibilities, and workflows across modern AI/ML teams. Engineers contribute to model pipelines, data engineering, RLHF prompt coding, QA evaluation, named entity recognition utilities, computer vision annotation tooling, and content safety systems that improve training data quality and model performance. This page serves both informational and transactional intent: understand salary ranges, skills, domains (NLP, CV, LLM training), and apply to roles across AI labs, tech startups, BPOs, and annotation vendors. Navigate opportunities on Rex.zone for remote, contract, freelance, full-time, entry-level, and senior openings with transparent pay, benefits, and growth paths.

Job Image

Salary & Compensation

Typical ranges vary by location, seniority, and domain: entry-level USD $60k–$90k, mid-level $90k–$150k, senior/principal $150k–$250k+. Contract and freelance rates commonly span $40–$120/hour depending on stack and scope. Total rewards may include base salary, performance bonus, equity, benefits (health, PTO), learning budget, and remote stipends. Compensation is influenced by employer type (AI labs, startups, BPOs, annotation vendors), domain specialization (NLP, computer vision, content safety), and impact on model performance improvement.

Roles & Responsibilities

Build reliable software: APIs, microservices, data pipelines, evaluation harnesses, CI/CD, and performance monitoring. Collaborate with ML researchers and data teams on training data quality, annotation guidelines compliance, prompt evaluation, RLHF tooling, NER utilities, and computer vision annotation workflows. Ship features, write tests, review code, and optimize systems for scalability, security, and cost.

Skills & Qualifications

Proficiency in Python, JavaScript/TypeScript, Go, or C++ and modern frameworks (FastAPI, Node.js, React). Experience with PyTorch or TensorFlow, data tools (SQL, Spark), and MLOps (Airflow, Kubeflow, MLflow). Knowledge of LLM training pipelines, QA evaluation metrics, and content safety labeling systems. Strong debugging, documentation, and stakeholder communication.

Domains & Workflows in AI/ML

NLP (tokenization, named entity recognition, prompt evaluation), computer vision (image/video classification, detection, annotation), content safety labeling (policy frameworks, moderation tooling), and LLM training pipelines (RLHF, human-in-the-loop feedback, evaluation dashboards). Collaborate on data labeling platforms, quality assurance processes, and model performance improvement initiatives.

Employment Types & Work Styles

Openings include remote, hybrid, and onsite roles; full-time, contract, and freelance engagements; entry-level, mid-level, senior, and staff/principal tracks. Schedules accommodate sprint-based delivery, flexible hours, and global time zones for distributed teams.

Employer Types

Join AI labs pushing frontier models, venture-backed tech startups, enterprise product teams, BPOs handling scaled operations, or specialized annotation vendors building robust labeling platforms. Each employer type offers distinct compensation structures and growth paths.

Tools & Tech Stack

Git, GitHub/GitLab, Docker, Kubernetes, Terraform, AWS/GCP/Azure, Databricks, Snowflake, Airflow, Kafka, LangChain, MLflow, Weights & Biases, and observability stacks. Testing and evaluation frameworks for large language model evaluation and data quality.

Career Levels & Progression

Advance from entry-level engineer to senior, staff, and principal roles with opportunities in tech leadership, ML engineering, platform engineering, and data infrastructure. Demonstrated impact on training data quality, model performance, and scalable systems drives progression and compensation growth.

How to Apply

Create a profile on Rex.zone, submit a resume, GitHub/portfolio links, and salary expectations. Complete a coding exercise and technical interview. Align on role scope (remote, contract, full-time) and domain focus (NLP, CV, content safety, LLM training). Apply today to explore matched openings.

Why Rex.zone

Purpose-built for AI/ML hiring with transparent salary insights, real-time market benchmarks, and roles across diverse employer types. Navigate opportunities, track applications, and engage with teams building production-grade ML systems and data pipelines.

Compensation Transparency

Rex.zone publishes salary bands when available and highlights factors like location, cost of living, domain specialization, and impact. Offers typically include base + bonus + equity for full-time or competitive hourly/daily rates for contract and freelance.

Search Modifiers Coverage

Discover remote, contract, freelance, full-time, entry-level, and senior roles across NLP, computer vision, content safety, and LLM training. Explore jobs with AI labs, tech startups, BPOs, and annotation vendors directly on Rex.zone.

Frequently Asked Questions

  • Q: What is the Coding Jobs Salary page on Rex.zone?

    It’s a centralized hub to understand developer compensation, compare roles across AI/ML domains, and apply to openings with transparent pay and requirements.

  • Q: What salary ranges can I expect?

    Entry-level $60k–$90k, mid-level $90k–$150k, senior $150k–$250k+. Contract rates are often $40–$120/hour. Actual offers vary by location, skills, employer type, and scope.

  • Q: Are remote and contract positions available?

    Yes. Rex.zone hosts remote, hybrid, onsite, full-time, contract, and freelance roles for multiple time zones.

  • Q: How do coding roles intersect with RLHF and data labeling?

    Engineers build RLHF prompt tooling, evaluation pipelines, and data quality systems that support training data and model performance improvement.

  • Q: Which domains are hiring?

    NLP, computer vision, content safety, and LLM training pipelines, including named entity recognition and large language model evaluation.

  • Q: What skills are most in demand?

    Strong coding in Python/TypeScript/Go/C++, ML frameworks, cloud infrastructure, MLOps, data engineering, and QA evaluation practices.

  • Q: How do I apply on Rex.zone?

    Create a profile, upload your resume and GitHub, set salary expectations, complete coding assessments, and apply to matched roles.

  • Q: Which employer types post jobs here?

    AI labs, tech startups, enterprise teams, BPOs, and annotation vendors with active AI/ML products and pipelines.

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.