EMETLAB Logo

EMETLAB

Senior Software Engineer

Posted 3 Days 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

Yesterday
Remote or Hybrid
120K-170K Annually
Senior level
120K-170K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Design, develop, and maintain highly available Go-based software for large-scale VOD, live, and linear streaming delivery. Build reliable services supporting dynamic ad insertion, manifest manipulation, multi-CDN routing, and content-origin workflows. Collaborate with SRE on resilient, multi-region systems; use observability and performance analytics for troubleshooting; contribute to code reviews, architecture, technical direction, and engineering best practices across globally distributed teams.
Top Skills: AgileAkamaiAWSAzureCdnCi/CdCloudflareCloudfrontDashDockerFastlyGCPGitGoHlsKanbanKubernetesPythonScrumSre
2 Days Ago
Remote or Hybrid
16 Locations
150K-220K Annually
Senior level
150K-220K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Develop scalable C++ software that defines and enforces endpoint behavior across millions of managed Windows endpoints. Responsibilities include implementing features, improving platform performance, shipping production code, designing new systems, writing architecture documents, defining subsystem contracts, and collaborating with server, UI, product, and design teams. The role requires deep Windows systems and kernel-driver expertise, with preferred experience in WHQL, minifilter or WFP drivers, macOS Endpoint Security, and Linux kernel development.
Top Skills: AWSC++C++14+GoJavaKernel-Mode DriversKotlinLinux EbpfLinux Kernel ModulesMacos Endpoint SecurityMinifilterPostgresWhqlWindowsWindows Filtering Platform (Wfp)Windows Kernel Drivers
2 Days Ago
Remote or Hybrid
California, USA
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Lead architecture and implementation of Java and Spring Boot microservices for platform modernization. Decompose legacy PHP monoliths, build AWS-native services and secure REST APIs, modernize identity systems, optimize data access, and establish testing, CI/CD, observability, and reliability standards. Mentor engineers, lead complex technical initiatives, resolve production issues, and ensure compliance with SOX and HIPAA requirements in a regulated healthcare environment.
Top Skills: Api GatewayAuroraAWSCi/CdDockerEcsFargateHibernateIamJavaJpaKubernetesLambdaLdapMySQLOauth2OidcOktaParameter StorePHPRest ApisS3SafeSnsSpring BootSqsSymfonyTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account