Evaluate AI systems at a scale only possible by combining thousands of vetted experts with model graders.
Innovate at the frontier of QA by shaping industry standards for validating agentic AI and large language models.
Collaborate with global market leaders to architect AI quality blueprints and drive high-impact consultative visibility.
Testlio provides a fully managed crowdsourced testing platform powered by proprietary intelligence technology, LeoCore. They are a female-founded, fully remote company with an inclusive culture, half of their team identifying as women, and are growing profitably.
Manage the operating rhythm for the AI build portfolio, including intake, staging, and launch sequencing across two concurrent programs.
Coordinate general-population AI training rollout for approximately 600 learners plus a clinical cohort, aligning with IT, Security, and Clinical Leadership.
Project manage the design and scaling of an AI competency screening framework for talent acquisition, piloting against real hiring cycles.
Curana Health is a national leader in value-based care for senior living communities and skilled nursing facilities, aiming to improve health and dignity for older adults. Founded in 2021, the company has grown to serve over 200,000 seniors across 1,500+ communities in 32 states with a team of over 1,000 clinicians and professionals.
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 a company-wide AI learning and enablement roadmap tailored to roles across engineering, finance, and operations.
Create hands-on workshops, videos, and an enablement hub to drive practical AI adoption and responsible use.
Partner with cross-functional teams to measure adoption, capture success stories, and scale effective workflows.
Giga is building gigawatts of AI data centers to hasten a future of intelligence and abundance. The team moves quickly and thinks practically, recruiting top talent from innovative companies.
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.
Own and extend the offline evaluation suite for AI products, building datasets and metrics.
Build online quality dashboards and close the production feedback loop by mining failure patterns.
Translate numbers into clear decisions for Product and domain experts.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing for entrepreneurs. With over €115 million in Series C funding and a team dedicated to innovation, they foster a start-up culture that values bold ideas and swift implementation.
Own the quality analysis of annotated data across computer vision and ML programs, making judgment-heavy calls that cannot be outsourced.
Analyze annotation data to detect anomalies and distinguish between annotation error, model error, and genuine field degradation.
Build and maintain performance trackers, root cause analysis documentation, and pattern libraries that the team relies on.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows, making operations smarter and safer. The company is a small, fast-moving engineering team with a culture of deep technical accountability and cross-functional collaboration.
Lead complex medical AI data programs from design through delivery, bridging customer objectives and clinical expertise.
Own the success of frontier AI pilots, turning emerging use cases into validated programs meeting quality, feasibility, and cost standards.
Shape how market data, financial statements, and quantitative models are used for model training and evaluation.
Appen is a leader in AI training data, providing human-generated data for model training across generative AI, LLMs, computer vision, and speech recognition. With over 1 million contributors in 200+ countries, they foster a culture of innovation, collaboration, and humility.
Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.
You will shape the AI Team Management curriculum as a Subject Matter Expert.
You will record authentic, engaging videos to teach AI leadership concepts.
You will collaborate with learning experience designers to create industry-aligned content.
Ziplines Education partners with universities to deliver industry-focused certificate courses for professionals. They have a high net promoter score and 92% of learners recommend their programs, with a team that supports adult learners.
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.
Design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite.
Work with engineering and UX to automate key business processes using AI.
Present feature capabilities and value to internal and external stakeholders.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue with a culture based on values like Do the Right Thing and Customer Success, and we are a public benefit corporation.
Own end-to-end AI solution delivery inside ORA, from design to deployment with measurable success metrics.
Design AI workflows across the call lifecycle, including pre-call briefs, in-call guidance, and post-call grading.
Partner with RevOps and QA to close the loop, raise the technical bar, and stay current with emerging AI tooling.
HighLevel is an AI-powered all-in-one white-label sales & marketing platform that empowers agencies and businesses to drive growth. With over 1,500 team members across 15+ countries, we operate a remote-first environment with a culture rooted in creativity and collaboration.
Lead multidisciplinary teams in data engineering, AI/ML, scientific computing, and modeling to build capabilities for data-intensive biomedical research.
Set technical direction, establish reference architectures, and guide the design and operation of production data platforms and AI/ML systems.
Foster a culture of rigorous engineering, reproducibility, and open science while ensuring governance, security, and responsible use of data and AI.
Axle Informatics is a bioscience and information technology company committed to accelerating biomedical discovery through data science, software engineering, scientific computing, and research technology. The company fosters a culture of technical craftsmanship, collaboration, and service to the research community, with a focus on building durable systems that enable scientific progress.
Partner with product managers, engineers, and operations leads to build AI-powered tools.
Design and operate an evaluation framework to ensure AI tools meet quality standards.
Own the repository health, governance model, and responsible AI practices.
Maleda Tech is a technology staffing firm that connects professionals with contract opportunities. The company culture is not described in the posting.
Own the success of frontier financial AI pilots, turning emerging use cases into validated programs.
Shape how market data, financial statements, and quantitative models are used for model training and evaluation.
Turn a pilot into a scalable project including workflows, expert requirements, and quality standards.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models. With over 1 million contributors in over 200 countries, the company fosters a culture of innovation, collaboration, and excellence, valuing curiosity and accountability.
Define and execute a forward-looking customer learning and enablement strategy aligned with product adoption and business growth.
Lead the design of a scalable learning ecosystem incorporating AI-enabled personalization and emerging technologies.
Partner with cross-functional teams to embed learning into customer journeys and measure program effectiveness through KPIs.
The partner company focuses on transforming customer education through modern learning and AI-enabled experiences. It is a remote-first organization with a collaborative and innovative culture.
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.
Own the knowledge framework for risk operations and set documentation standards.
Manage a BPO-based content-writing team and drive adoption across programs.
Architect training and certification systems to scale enablement.
Mercury is a fintech company offering modern banking services and financial tools to startups. It is a high-growth company with a culture focused on craftsmanship, diversity, and belonging.
Drive net-new and expansion sales cycles within frontier AI labs, targeting research and executive teams.
Understand customer workflows and position Prolific as the source of high-integrity human data for model training and evaluation.
Work cross-functionally with Science, Services, Marketing, and Product teams to drive meaningful growth.
Prolific provides a platform connecting researchers with a global pool of participants for ethically sourced human behavioral data, enabling the development of more accurate and aligned AI systems. It is a mission-driven company at the forefront of AI innovation with a remote-friendly culture.