Computer Software Engineering Jobs at Rex.zone

Computer software engineering jobs are professional roles for designing, building, testing, deploying, and maintaining software systems across web, mobile, cloud, data, and AI/ML platforms. This page connects motivated engineers with real, high-impact opportunities and hiring pipelines on Rex.zone—including remote, contract, freelance, full-time, entry-level, and senior postings. Our listings include modern AI workflows such as LLM training pipelines, RLHF integration, data labeling and QA evaluation loops, named entity recognition tooling, computer vision annotation, and content safety labeling systems. Browse and apply for computer software engineering jobs on Rex.zone to build products at AI labs, tech startups, BPOs, annotation vendors, and enterprise R&D teams.

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About Computer Software Engineering Roles

Computer software engineering jobs encompass full-stack web development, backend service design, mobile apps, cloud infrastructure, data engineering, ML platform tooling, and applied AI. Engineers define requirements, architect robust systems, implement clean code, document APIs, write automated tests, and own production reliability and security. In modern AI organizations, engineers collaborate with data scientists and labeling teams to implement annotation pipelines, reinforcement learning from human feedback (RLHF) loops, and evaluation harnesses that improve training data quality and model performance. Whether you are focused on microservices, distributed systems, frontend experience, or MLOps, computer software engineering jobs on Rex.zone link your skills to hiring teams that value practical results and strong engineering ethics.

Core Responsibilities

Successful engineers own the full lifecycle: planning, estimation, implementation, testing, deployment, monitoring, and continuous improvement. In AI/ML contexts, responsibilities extend to building data ingestion services, annotation guidelines compliance tooling, model evaluation APIs, and feedback dashboards. Typical tasks include designing REST and GraphQL APIs, crafting resilient queues and event-driven workflows, integrating vector databases, optimizing inference services, and maintaining CI/CD. Engineers contribute to documentation, code reviews, threat modeling, and quality assurance. On teams working with LLMs, responsibilities often include prompt evaluation frameworks, guardrails for content safety, named entity recognition pipelines, and automated regression suites for large language model evaluation. Across all computer software engineering jobs, reliability, scalability, and maintainability are core deliverables.

Skills and Qualifications

Required skills vary by role but commonly include proficiency in one or more programming languages (Python, JavaScript/TypeScript, Java, Go, C++), frameworks (React, Next.js, Node.js, Spring, Flask, FastAPI), and cloud platforms (AWS, GCP, Azure). Experience with relational and NoSQL databases, containerization (Docker), orchestration (Kubernetes), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, GitLab CI) is valuable. For AI-centric computer software engineering jobs, familiarity with PyTorch, TensorFlow, Hugging Face, vector search, dataset versioning, and data labeling tooling is beneficial. Security fundamentals, accessibility, performance tuning, and compliance awareness are increasingly critical. Entry-level applicants should demonstrate strong fundamentals, curiosity, and project portfolios; senior engineers should show architectural leadership, mentoring, and cross-functional impact.

Domains and Specializations

Rex.zone hosts computer software engineering jobs across domains like NLP, computer vision, speech, recommendation systems, and content safety. Specializations include full-stack engineering, backend microservices, frontend performance, mobile iOS/Android, DevOps and SRE, MLOps and data platforms, QA automation, and cloud security engineering. Roles in NLP engineering may involve prompt evaluation, named entity recognition, and model inference APIs, while computer vision engineering roles often focus on annotation tooling, dataset curation, and optimized CUDA kernels. Content safety engineering covers moderation pipelines, policy enforcement services, and red-teaming automation. Engineers enabling LLM training pipelines collaborate with RLHF and evaluation teams to deliver robust data and stable production systems.

Workflows in AI/ML and LLM Engineering

Modern teams implement workflows linking data labeling, RLHF, and large language model evaluation. Engineers build services for ingesting user feedback, scoring prompts, and orchestrating training runs. You may build annotation dashboards with guidelines compliance checks, enforce data privacy and governance, and design reliable interfaces for raters and QA evaluators. Model performance improvement is achieved by careful feature logging, dataset iteration, and reproducible training. Computer software engineering jobs on Rex.zone often reference training data quality metrics, automated tests for bias and drift, synthetic data generation, and content safety labeling checks. Engineers also optimize inference latency, cost control with autoscaling and quantization, and secure deployment of fine-tuned models.

Tools, Stacks, and Environments

Teams commonly adopt TypeScript with React and Next.js for frontends, Node.js or Go for microservices, Python for ML services, and Java or Kotlin for high-throughput backend systems. Data stacks include PostgreSQL, MySQL, MongoDB, Redis, Kafka, Elasticsearch, and vector databases like Pinecone or Milvus. Infrastructure uses Docker, Kubernetes, Terraform, Helm, and cloud providers like AWS (EKS, Lambda, S3), GCP (GKE, BigQuery), or Azure (AKS, Cosmos DB). Observability integrates OpenTelemetry, Jaeger, Sentry, and structured logging. ML tooling includes PyTorch, TensorFlow, Hugging Face, Weights & Biases, MLFlow, and dataset versioning platforms. Annotation ecosystems may involve Label Studio, Prodigy, or custom UIs for named entity recognition, computer vision annotation, and content safety labeling.

Career Paths and Levels

Computer software engineering jobs span entry-level, mid-level, senior, staff, and principal tracks, plus managerial paths like engineering manager and director. Entry-level roles emphasize mentorship, code quality, and learning workflows; mid-level engineers own features and systems; senior engineers lead architecture and cross-team initiatives; staff and principal engineers shape technical strategy and drive platform evolution. Opportunities include remote, contract, freelance, and full-time placements. Rex.zone highlights growth pathways with exposure to NLP, computer vision, content safety, and LLM training pipelines, letting engineers broaden their competencies while contributing measurable product outcomes. Senior roles may involve designing annotation guidelines compliance systems, model evaluation frameworks, and production SRE practices.

Remote, Contract, Freelance, and Full-time Options

Rex.zone aggregates computer software engineering jobs to meet diverse professional preferences. Remote positions support flexible schedules and global collaboration, while contract and freelance roles allow targeted engagements and specialized delivery. Full-time roles offer stability, benefits, and deeper ownership of product and platform roadmaps. Entry-level candidates can find internships and junior roles; senior engineers can target staff-level leadership. We tag postings with modifiers like remote, contract, freelance, full-time, entry-level, and senior, plus domain tags like NLP, computer vision, content safety, and LLM training, so candidates can quickly filter to the most relevant opportunities and apply directly on Rex.zone.

Employers Hiring on Rex.zone

Our listings connect candidates to AI labs, tech startups, BPOs, annotation vendors, and enterprise innovation teams. AI labs recruit engineers to build tooling for RLHF and evaluation harnesses. Tech startups hire full-stack and backend engineers to ship features fast across modern stacks. BPOs and annotation vendors need platform engineers to scale labeling and QA evaluation workflows. Enterprise R&D groups invest in cloud migration, data pipelines, and content safety systems. Computer software engineering jobs here often mention training data quality, model performance improvement, and large language model evaluation to attract builders who understand end-to-end production readiness and ethical deployment.

Application Process on Rex.zone

Create a candidate profile on Rex.zone, upload your portfolio and resume, and browse computer software engineering jobs filtered by level, domain, and employment type. Use saved searches for remote, contract, freelance, full-time, entry-level, and senior modifiers. Apply to postings with tailored cover letters and concise project write-ups highlighting impact, trade-offs, and metrics. Rex.zone routes your application to hiring teams and may invite you to skill assessments, coding challenges, and systems design interviews. Our platform helps engineers showcase contributions like lowering latency, improving training data quality, boosting model performance, and building annotation guidelines compliance tooling. Track status, schedule interviews, and manage offers in one place.

Compensation and Benefits

Compensation varies by role, geography, and company stage. Entry-level roles typically offer competitive base pay, mentorship, and learning budgets. Senior engineers receive higher base, performance bonuses, equity, and leadership opportunities. Remote packages may include stipends for home office, cloud credits, and wellness benefits. For AI-heavy computer software engineering jobs, employers may sponsor conference travel and research time. Benefits often include health coverage, paid time off, parental leave, and professional development. Rex.zone postings include salary ranges when available and encourage transparent negotiation. Focus on total rewards, including growth, autonomy, and the chance to influence systems used by millions of users.

Quality, Safety, and Compliance

Engineering teams must guard against security vulnerabilities, data privacy risks, and harmful outputs. Quality programs cover unit, integration, and end-to-end tests, code reviews, and release governance. Safety mechanisms include content filters, PII redaction, rate limits, and abuse prevention. For AI workflows, engineers implement annotation guidelines compliance checks, rater quality metrics, and audit trails. Large language model evaluation suites test for accuracy, toxicity, bias, and hallucination. Reliability practices include SLOs, alerting, incident response, and postmortems. Computer software engineering jobs that touch sensitive domains emphasize ethical design, clear documentation, and user trust, aligning with frameworks like SOC 2, ISO 27001, GDPR, and regional standards.

N-gram-Relevant Topics and Outcomes

To match common search behavior and hiring needs, postings reference training data quality improvements, annotation guidelines compliance, model performance improvement programs, and large language model evaluation frameworks. Engineers deliver measurable outcomes: reduced inference latency, higher test coverage, robust monitoring, lower defect rates, and reliable deployments. In ML contexts, teams track precision, recall, F1, AUC, and cost per inference. Full-stack roles quantify frontend performance, accessibility scores, and SEO results. Backend roles report uptime, throughput, and p99 latency. DevOps and SRE roles publish SLO attainment and incident reduction. These themes help surface computer software engineering jobs to candidates seeking impact and accountability.

Where These Jobs Are Located

While many computer software engineering jobs on Rex.zone are remote-first, we also feature hybrid and on-site roles across the US, EU, UK, Canada, India, and APAC hubs. Employers specify time-zone overlap, travel expectations, and hardware policies. Contract and freelance roles may be fully asynchronous; full-time roles often offer flexible core hours. Candidates can filter by location, visa sponsorship, and relocation support. The platform’s navigational intent is simple: discover, evaluate, and apply to software engineering roles quickly on Rex.zone, regardless of your location.

Why Apply Through Rex.zone

Rex.zone centralizes computer software engineering jobs with transparent descriptions, consistent tagging, and straightforward applications. Our platform bridges informational intent (role details, workflows, skills), transactional intent (fast apply and interview scheduling), and navigational intent (direct discovery on Rex.zone). You will find roles in NLP, computer vision, content safety, and LLM training pipelines alongside classic web, mobile, and cloud engineering. If you care about execution, quality, and responsible AI, apply on Rex.zone and join teams that measure success with training data quality, annotation guidelines compliance, and model performance improvement.

Frequently Asked Questions

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

    Roles include full-stack, backend, frontend, mobile, DevOps and SRE, QA automation, data platforms, NLP and computer vision engineering, content safety engineering, and LLM training pipelines. Employment types range from remote, contract, and freelance to full-time, entry-level, and senior.

  • Q: How do AI/ML workflows influence these roles?

    Engineers collaborate with data labeling teams, build RLHF loops, and implement large language model evaluation harnesses. They measure training data quality, enforce annotation guidelines compliance, and design services that improve model performance and safety in production.

  • Q: What skills should I highlight in applications?

    Emphasize programming proficiency, system design, testing and CI/CD, cloud experience, and relevant domain skills. For AI-centric roles, mention PyTorch/TensorFlow, Hugging Face, vector search, dataset versioning, and experience with evaluation metrics and content safety.

  • Q: Are there remote and contract opportunities?

    Yes. Rex.zone features remote, contract, freelance, and full-time positions globally. Use filters to find computer software engineering jobs by employment type, domain, location, and seniority.

  • Q: Which employers hire via Rex.zone?

    AI labs, tech startups, BPOs, annotation vendors, and enterprise R&D teams post openings. Roles often involve building pipelines, microservices, annotation tools, and evaluation frameworks.

  • Q: How does Rex.zone support the application process?

    Create a profile, upload your resume and portfolio, and apply directly. Track application status, schedule interviews, and manage offers. Listings include skill expectations, compensation ranges when available, and domain tags for faster discovery.

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