Source Job

• Lead end-to-end delivery of multimodal AI data programs, managing scope, timelines, budgets, and client communication.
• Translate technical requirements into workflows, annotation guidelines, and quality standards for image, video, 3D, and sensor data.
• Mentor operations specialists and build reusable SOPs and QA frameworks to support consistent, high-quality delivery.

Appen provides human-generated data to train, fine-tune, and evaluate AI models across generative AI, large language models, computer vision, and speech recognition. With over 30 years of experience and a global crowd of more than 1 million contributors in over 200 countries, Appen fosters a culture of innovation, collaboration, and excellence.

• Lead end-to-end delivery of AI post-training data programs, managing scope, timelines, budgets, staffing, and risk.
• Translate client model improvement goals into data requirements, workflows, rubrics, and evaluation plans.
• Define quality standards, monitor delivery quality, and mentor operations specialists to ensure consistent outcomes.

Appen is a leader in AI training data, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech. With over 1 million contributors in 200+ countries and a 30-year legacy, Appen fosters a culture of innovation, collaboration, and excellence.

• Own end-to-end delivery of speech and audio AI data programs, managing scope, timelines, budgets, staffing, and risks.
• Translate client requirements into annotation guidelines, workflows, tooling, and quality standards, while monitoring metrics like WER and diarization.
• Provide domain expertise across speech and audio workflows, mentor Operations Specialists, and support new project scoping and pilots.

Appen is a leader in AI training data, providing human-generated data to train and evaluate models across generative AI, speech, and vision. With over 1 million contributors in 200+ countries, it fosters a culture of innovation, collaboration, and humility.

• Transform raw customer and internal engineering data into structured datasets for AI training and evaluation.
• Use CAD and mechanical engineering expertise to create ground-truth designs, annotations, and exploded views.
• Collaborate with product, engineering, and customer teams to define data quality standards and workflows.

Foundation EGI is a MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI), an AI Copilot for design and manufacturing. They are a small, fast-paced team focused on reinventing how physical products are designed and built.

• Drive execution of complex Physical AI programs connecting AI, software, and the physical world.
• Coordinate across engineering, AI, product, UX, and business teams to translate priorities into executable plans.
• Manage risks, dependencies, budgets, and globally distributed teams to deliver large-scale programs on time.

GDKN is a staffing solutions provider offering end-to-end temporary staffing services across industries. With over 20 years in the industry, they are a minority business enterprise and preferred vendor for many large corporations.

• Work through complex mechanical engineering problems while narrating your reasoning process.
• Evaluate AI-generated responses for accuracy, depth, and reasoning quality.
• Write improved exemplars and structured feedback to enhance AI model performance.

Prolific is building the largest pool of quality human data for AI, used by over 35,000 developers and researchers. We provide a global platform for flexible, remote work to contribute to ethical AI development.

• Provide expert mechanical engineering insights to train AI models on real-world CAD design and validation workflows.
• Complete paid vetting survey and potential multi-hour design tasks using open-source CAD software.
• Work remotely with flexible hours while contributing to next-generation AI development.

Prolific builds a platform for AI developers to collect high-quality human data from paid participants. With over 35,000 users, it focuses on ethically sourced behavioral data to improve AI systems.

• Apply advanced mechanical engineering expertise to create, solve, and validate engineering tasks for AI training.
• Use computational modeling, simulation, and AI coding agents to develop and assess engineering solutions.
• Work fully remotely as an independent contractor on a 12-month contract, contributing to AI system reliability.

We are an AI-powered job matching platform that connects top candidates with hiring companies. We use AI to review applications and shortlist the best-fitting candidates for a fair and efficient recruitment process.

• Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
• Define evaluation criteria and agent architectures for multi-step engineering workflows.
• Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.

Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.

• Solve and validate mechanical engineering problems across design, analysis, and simulation.
• Translate physical systems into computational models and modify geometry, meshes, and solver inputs.
• Review engineering artifacts against physical and design constraints to ensure quality.

This organization focuses on AI training projects to improve computational engineering tasks. It operates with a small, remote team of contractors offering flexible scheduling.

• Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance.
• Research and benchmark AI applications, tools, and industry practices.
• Provide expert advice on practical AI applications across the Software Development Lifecycle.

XM is a global financial services and trading company. With engineering teams across multiple locations, the company focuses on software development and quality assurance in a fast-paced environment.

• Lead and grow a team of engineers: hire top talent, coach and develop individuals, and build a culture of ownership and velocity.
• Take ownership of complex, mission-critical areas and drive technical strategy and roadmap for new products.
• Partner with product, design, and customer-facing teams to translate ambiguous problems into clear technical plans and measurable outcomes.

We are the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data to improve safety, efficiency, and sustainability. We are a public company at ~$2.1B ARR with a culture of ownership and long-term building.

• Build and own evaluation infrastructure for Circle's AI agents.
• Diagnose quality breakdowns across the agent pipeline.
• Grow datasets and lead the AI Quality engineering team.

Circle builds an AI-powered all-in-one platform for digital businesses, uniting audiences with discussions, live streams, events, chat, courses, and payments. It's a fully remote team of about 270 people from 30+ countries, with an async culture and annual global offsites.

• Define and execute a comprehensive data strategy for AI model training, simulation, and production deployment in safety-critical autonomous systems.
• Own the end-to-end data pipeline from raw collection and labeling through curation, versioning, and delivery at scale.
• Build and maintain data flywheels and lead a team of data and infrastructure engineers.

Merlin is a publicly traded aerospace and defense company building the Merlin Pilot, a non-human pilot system delivering full-stack autonomy for any aircraft. Headquartered in Boston, Merlin is a small, innovative, and team-focused startup-like environment that supports professional development.

• Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
• Build hands-on LLM-powered tools, data pipelines, and ML systems.
• Partner with portfolio companies to commercialize data and drive AI adoption.

ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.

• Plan and track construction schedules, budgets, and milestones across projects.
• Use AI and automation to build internal tools, dashboards, and workflows.
• Coordinate with contractors and produce automated project reports.

Sanctuary builds nature-led, wellness-centered communities, starting with a 135-acre residential development in Texas. They are a global team across 8 countries of designers, architects, engineers, and dreamers.

• Build and maintain shared agent tools and capabilities in production.
• Configure prompt agents and customize tools for each use case.
• Deploy agents, monitor fleet health, and optimize in production.

EQT builds a fleet of AI agents that work alongside our people. The company emphasizes transparent leadership, connected impact, and supported growth, fostering a collaborative culture where every voice is heard.

• Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
• Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
• Own the quality of shipped systems, from code reviews to monitoring and integration.

Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.

• Lead the GTM AI Engineering team, building AI agents, copilots, and workflow automations for Sales, Customer Success, Support, and Enablement.
• Spend about 70% of your time hands-on building (prototyping agents, writing code, designing evals) and 30% leading strategy and influencing stakeholders.
• Own the GTM AI platform architecture, evaluation frameworks, model routing, and adoption across the field.

Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a recent public company, Samsara values autonomy, long-term thinking, and a growth mindset, with a flexible remote-first culture.

• Write production code daily and modernize the SDLC with CI, tests, staging, feature flags, and coding agents.
• Coach the existing engineering team and set the roadmap with the GM.
• Put AI in the product with retrieval, tool use, evals, and guardrails.

Beacon Holdings acquires and operates vertical SaaS companies, scaling through software and AI rather than headcount. The firm has raised $550M+ from top investors and values humility, honesty, hunger, and horizon.