Lead a team of AI Tutors to deliver high-quality training data and evaluations for SpaceXAI's models.
Own end-to-end quality and delivery for Human Data projects, reviewing work and ensuring consistency.
Coach, performance-manage, and develop talent while improving operational processes.
SpaceXAI creates AI systems to understand the universe and aid humanity. The team is small, highly motivated, and focused on engineering excellence with a flat structure.
Lead a team of AI Tutors to create high-quality medical training data for advanced AI systems.
Apply hands-on medical expertise to review work, ensure quality, and improve operations.
Partner with engineering to translate AI model requirements into effective labeling strategies.
The company is a partner organization focused on producing high-quality training data for advanced AI systems. It operates as a globally distributed team with a collaborative, high-autonomy culture.
Own end-to-end quality and delivery for Human Data projects, reviewing work and managing performance.
Coach and develop AI Tutors, conduct regular reviews, and implement process improvements.
Collaborate with Human Data Managers and Engineering to translate model requirements into labeling strategies.
Our partner is a company that produces and evaluates high-quality human data to support the development of advanced AI systems. They are part of a collaborative, engineering-focused environment with a distributed team, emphasizing initiative and ownership.
Own end-to-end quality and delivery for Human Data projects, personally reviewing work to ensure accuracy and consistency.
Lead, coach, and performance-manage a team of AI Tutors, conducting regular reviews and driving continuous improvement.
Drive efficiency by identifying operational bottlenecks, implementing process improvements, and tracking performance via KPIs.
SpaceXAI creates AI systems that can understand the universe and aid humanity's pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence with a flat organizational structure.
Design and execute technical training programs for AI data and annotation teams, including curricula and certifications.
Own quality frameworks, monitor KPIs like accuracy and defect rates, and drive continuous improvement.
Provide technical guidance for AI data projects such as LLM evaluation, RLHF, and model benchmarking.
Innodata is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. With over 36 years of experience, they are committed to delivering the highest quality data and outstanding outcomes for clients.
Lead end-to-end AI training and evaluation engagements, translating client objectives into project plans and quality standards.
Manage multiple concurrent projects, owning operational performance across quality, throughput, cost, and timelines.
Serve as primary client contact, leading scoping discussions, progress updates, and acceptance testing.
The company is a partner firm specializing in AI model training and data operations. It offers a collaborative, diverse, and supportive work culture with remote flexibility and team-building activities.
Lead a full-stack engineering team from problem definition through production and iteration.
Set engineering strategy for quality, reliability, security, privacy, and operational health.
Ship AI-powered products and change how the team works with AI, not just add AI features.
Brightwheel is the largest, fastest growing platform in early education, trusted by millions of educators and families. It is a three-time Cloud 100 company backed by top investors, with a customer-focused and distributed team.
Lead a full-stack engineering team from problem definition through production and iteration.
Translate company goals into clear outcomes and a credible execution plan.
Ship AI-powered products and change how the team works with AI.
Brightwheel is a leading technology platform for early education, trusted by tens of thousands of providers and millions of educators and families. They are a distributed team with remote employees across every US time zone and select offices, backed by top investors.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Lead, mentor, and scale a global data engineering team while driving architecture, engineering standards, and delivery.
Design and build scalable data pipelines and models using GCP, BigQuery, Python, SQL, dbt, and Airflow.
Champion AI adoption across engineering workflows and partner with stakeholders to deliver data-driven solutions.
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.
Own end-to-end quality of AI product experiences, improving response usefulness and reliability.
Build evaluation frameworks and run experiments to measure and improve AI performance.
Translate AI failure patterns into prioritized fixes for Product and Engineering.
Progress Partners is a fast-growing technology company building and scaling next-generation SaaS and mobile platforms. Our global team of experts collaborates across time zones to deliver category-defining innovations.
Own the application engineering strategy and execution across backend, mobile, and desktop.
Design reliable systems for AI-powered workflows, including state, orchestration, and failure handling.
Lead a small senior engineering team, providing mentorship and raising technical standards.
The company develops AI-powered email applications, integrating machine learning to enhance productivity. The engineering team is small and senior-focused, with a culture of ownership and high standards, operating fully remotely.
Review and advise on evaluation criteria and scoring rubrics for AI-generated outputs.
Create, edit, and validate high-quality benchmark tasks and reference data for AI training.
Analyze model failures, including hallucinations and flawed reasoning, providing expert explanations.
The company specializes in AI evaluation and training, helping define standards for next-generation AI systems. They operate as a partner company that manages applications and next steps, valuing autonomy and expertise in their consultants.
Lead the development of the AIOS Agent SDK, forming the foundation for world-class agents across the company.
Own agent architecture, model strategy, evals, and production reliability for AI systems handling $100k daily revenue.
Build and scale the applied AI team, setting technical direction and ensuring safe, compliant agent operations.
AIOS is building the world’s first full-stack AI doctor, serving 150k patients monthly via Bolt Pharmacy in the UK. They are a profitable, fast-growing startup with $350M ARR and a founder-led culture of intense execution.
Lead the end-to-end delivery of AI workflows, from problem discovery to deployment and iteration.
Design and build orchestrators, sub-agents, and knowledge systems to enhance advisor and customer experiences.
Establish quality standards, monitor performance, and collaborate with cross-functional teams to deliver impactful solutions.
The company specializes in AI-driven customer success solutions. They maintain a global, remote-first team with a culture of creativity and collaboration.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Lead a remote team of engineers in designing and shipping production-grade agentic AI systems for enterprise clients.
Own solution design and system architecture across agents, tools, data, evaluations, and controls.
Personally implement critical components and guide client stakeholders through difficult technical decisions.
EggAI is an enterprise-focused generative AI company that helps large organizations move AI solutions from prototyping to production. Based in Munich, Germany, the company builds safe, reliable, and scalable AI systems for enterprise clients.
Lead the engineering strategy and execution for evaluations of AI agents, owning the core evaluation platform.
Design scalable evaluation infrastructure, APIs, workflows, and production systems across software categories.
Mentor and develop a team of engineers as the technical authority on agentic evaluation.
This company focuses on building credible, scalable evaluations of AI agents from software vendors. It operates as a fully remote, inclusive team with a flexible culture and a focus on professional growth.
Lead and mentor a growing team of data engineers, own hiring and onboarding, and set engineering standards.
Design, build, and maintain scalable data pipelines using GCP, Python, BigQuery, dbt, Airflow, and more.
Drive AI adoption across engineering workflows, ensuring data is AI-ready and quality standards are met.
Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Lead and grow the AI Transformation engineering team, owning delivery, quality, and operational health.
Guide architecture of agentic AI systems and set engineering standards for security and compliance.
Partner with business units to align engineering delivery with business outcomes and track KPIs.
GoodLeap is a technology company providing financing and software for sustainable home solutions like solar and energy-efficient upgrades. With over 1 million homeowners served and $30 billion in financing since 2018, they support a collaborative culture and are dedicated to positive environmental impact through their nonprofit, GivePower.