EMETLAB Logo

EMETLAB

Senior Software Engineer

Posted 8 Hours Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
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

About the Job

The Opportunity

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.

What You'll Need to Succeed

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

About Emetlab

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.

Similar Jobs

An Hour Ago
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
Yesterday
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
2 Days Ago
In-Office or Remote
167K-209K Annually
Senior level
167K-209K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Design, build, test, and optimize scalable control-plane and data-plane software for cloud networking products. Develop APIs, improve performance, reliability, monitoring, and customer experience, while supporting products end to end. Collaborate across teams, establish engineering and architecture best practices, automate delivery processes, and mentor engineers. The role requires strong Go and distributed-systems experience, networking knowledge, cloud and containerization expertise, and familiarity with technologies such as eBPF, XDP, Kubernetes, and gRPC.
Top Skills: ChefCi/CdConsulDnsDockerEbpfGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepPrometheusSQLTemporalVirtualizationXdp

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account