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.
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.
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 producing high-quality training data and evaluations for advanced AI models.
Review engineering-domain work, uphold quality standards, and drive operational improvements.
Coach and develop AI Tutors while collaborating with engineering and human data teams.
Jobgether is an AI-powered job platform that connects candidates with partner companies using objective matching. This role is with a partner company focused on AI training data, offering a collaborative, remote-first environment emphasizing autonomy and continuous learning.
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.
Own day-to-day execution for annotation queues on a live AI training/eval program.
Run quality calibrations, monitor contributor performance, and resolve bottlenecks.
Build dashboards that give stakeholders real-time visibility into throughput and quality.
Prolific builds the world's largest pool of quality human data, used by over 35,000 AI developers, researchers, and organizations. The company prioritizes ethically sourced feedback and believes diverse human perspectives will drive the next leap in AI innovation.
Leads program strategy and delivery for AI training data projects, owning client relationships and governance.
Manages cross-functional teams, capacity, budgets, and quality outcomes with the Lead Quality Manager.
Drives process improvement, automation, and risk management to meet high-volume operational targets.
Welo Data is the multilingual data and evaluation partner for companies deploying GenAI systems globally. It has a global network of 500,000+ vetted experts across 300+ languages to ensure reliable AI model performance.
Define and own the technical strategy for Octave's data platform and AI/ML capabilities, partnering with product and business leaders.
Lead and mentor a data platform team while remaining hands-on in architecture, prototyping, and complex engineering problems.
Balance near-term delivery with foundational investments to scale data and AI initiatives, driving KPIs and technical excellence.
Octave is a modern behavioral health practice offering evidence-based individual, couples, and family therapy in-person and virtually. They focus on quality care and payer partnerships to make therapy affordable, with a growing team and a culture of empathy and collaboration.
Lead a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
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.
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.