Software Engineer

Build and operate scalable full-stack software and AI-powered products for physical operations. Own technically complex areas, define technical strategy, develop backend services, APIs, frontend and potentially mobile experiences, and translate customer problems into measurable outcomes. Lead cross-team initiatives, mentor engineers, participate in technical reviews, and raise engineering quality and velocity. Top Skills: Agentic WorkflowsAIAPIsCursorGoIotJavaScriptLlmsMachine LearningPythonReactRecommendation SystemsTypescript MongoDB

Senior Software Engineer

Yesterday Easy Apply Remote or Hybrid United States Easy Apply 126K-248K Annually Senior level 126K-248K Annually Senior level Big Data * Cloud * Software * Database Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers. Top Skills: C++Data PartitioningDistributed SystemsLow-Latency NetworkingMongoDBSystem Observability Unanet

4+ years of professional software engineering experience, with strong proficiency in one or more languages such as Python, C#, Java, TypeScript, or Go. Proven experience designing and building production-grade APIs, services, and distributed systems that operate at scale. Familiarity with cloud platforms (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and modern deployment practices. Experience working with databases (relational and/or NoSQL), caching layers, messaging systems, and data pipeline tooling. A strong engineering mindset, comfortable navigating ambiguity, making pragmatic trade-offs, and delivering with quality under pace. Experience mentoring engineers and contributing to engineering culture through technical leadership and collaboration. A collaborative disposition, comfortable working cross-functionally with data operations, AI/ML, product, and engineering teams in a fast-paced environment. Genuine interest in AI, data systems, or machine learning infrastructure is highly valued.

Role Details

Employment Type: Full-Time and Part-Time positions available Location: Fully Remote Stage: Growth stage, operational

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices. The summary above was generated by AI, Remote United States 143K-155K Annually Senior level 143K-155K Annually Senior level Enterprise Web * Fintech * Marketing Tech * Software Design, build, test, deploy, monitor, and support scalable enterprise software across the full lifecycle. Evaluate requirements, estimate effort, identify risks, collaborate with Product Management, conduct code and design reviews, and improve architecture and development practices. The role requires full-stack Java and modern front-end experience, API and event-driven integration expertise, database design, incident response, and CI/CD experience with Docker and Kubernetes. Top Skills: Ai-Assisted Development ToolsApache TomcatCi/CdCSSDockerEvent-Driven IntegrationsGitJava 8+JavaScriptJqueryKubernetesMvcReactRestful ApisSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

As a Senior Software Engineer at Emetlab, you will design and build the systems that power elite AI training data infrastructure serving frontier laboratories, Fortune 500 enterprises, and sovereign AI programmes worldwide. Emetlab is an AI data infrastructure company delivering expert-produced, rigorously validated datasets and end-to-end AI solutions that transform good models into exceptional ones.

In this role, you will take ownership of critical platform systems, from data pipeline architecture and contributor tooling to quality assurance automation and client delivery infrastructure. You will lead technical initiatives, mentor junior engineers, and make architectural decisions that scale with the demands of a global operation spanning 5,000+ domain experts, 100+ languages, and 12 specialised dataset domains.

This is an opportunity to do meaningful engineering work at the foundation of AI’s most critical bottleneck, where the systems you architect and the code you write will directly determine the quality of training data behind the world’s most advanced models.

What You’ll Do

Design, build, and maintain scalable services, APIs, and data pipelines that power Emetlab’s global data production and delivery infrastructure. Develop and optimise systems that support multi-stage quality assurance, expert contributor workflows, and high-throughput data processing across diverse domains. Own features and systems end-to-end, from technical design and implementation through to testing, deployment, and monitoring. Lead architectural decisions that ensure platform reliability, security, and scalability as our contributor network and client base grow. Mentor and elevate junior and mid-level engineers through code reviews, pairing, and architectural guidance. Collaborate cross-functionally with data operations, AI/ML, and product teams to deliver infrastructure that meets the precision demands of frontier AI development. Contribute to infrastructure and DevOps practices including CI/CD pipelines, containerisation, and cloud deployment at scale., Emetlab is an AI data infrastructure company built on a single conviction: the quality ceiling of any AI system is determined by its training data, not its architecture or compute. We produce expert-crafted, rigorously validated training datasets across 12 specialised domains, delivered by a global network of over 5,000 vetted domain specialists spanning 100+ languages and 50+ specialisations. Beyond datasets, we offer end-to-end AI solutions including Fine-Tuning, RLHF & Alignment, Red Teaming, Model Evaluation, Data Annotation, Synthetic Data Generation, and Pre-Training Data Pipelines.

We are not a crowd-sourcing platform. We are the data partner that matches the ambition of the teams building the next generation of AI, delivering measurable results: 42% accuracy improvements, 3x faster time-to-production, and 99.4% regulatory precision.

Equal Opportunity

Emetlab is an equal opportunity employer. We welcome dedicated individuals regardless of gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We believe that extraordinary products are built by extraordinary teams, and extraordinary teams are built on inclusion, respect, and the understanding that brilliance has no single origin.

If you require accommodation during the application or interview process, please reach out to our team and we will ensure your needs are met with care.

Let’s build the future of AI training data, together.