Backend Developer - AI Data Services
About this role
About the Role What if your C expertise could directly shape the infrastructure powering next-generation AI? We're looking for a seasoned C engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote contract role working on real production systems — not toy projects. You'll collaborate with data, research, and engineering teams at the frontier of AI development, solving hard infrastructure problems that have a direct impact on how the world's most advanced models are built. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance C systems supporting AI data pipelines and model evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Improve reliability, performance, and correctness across existing C codebases - Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Native or fluent English speaker with clear written and verbal communication skills - Full-stack developer with a strong systems programming foundation and 5+ years of professional C experience - Skilled in data modeling and database access — including ORM frameworks and micro-ORMs for high-performance SQL interactions - Experienced building secure, well-documented APIs and endpoints for data access and manipulation - Able to commit reliably to 20–40 hours per week on an ongoing basis - Self-directed and comfortable working asynchronously across a remote-first environment Nice to Have - Prior experience with data annotation platforms, data quality systems, or model evaluation pipelines - Familiarity with AI/ML workflows, model training infrastructure, or benchmarking systems - Experience with distributed systems, developer tooling, or high-throughput data processing Why Join Us - Work directly with leading AI research labs on production systems that matter - Fully remote and flexible — structure your work around your schedule - Freelance autonomy with the substance of meaningful, technically challenging work - Contribute to infrastructure that shapes how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as projects grow and evolve
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