Review de-identified medical images across multiple modalities
Provide expert diagnostic reads and clinical interpretations
Apply structured scoring rubrics to clinical cases
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Review de-identified medical images and associated clinical cases through a secure remote platform.
Provide structured expert reads and complete standardized scoring rubrics for diagnostic benchmarking.
Articulate diagnostic reasoning and clinical confidence while working asynchronously at your own pace.
Terac is building the world's largest pool of vetted human experts for AI, connecting researchers with study participants across industries and skills. The company enables flexible, paid expert work through a secure remote platform.
Own the context layer: manage what Mimo knows, when, and at what cost, with retrieval and memory as one budget.
Define tool contracts and build evaluation practice: schemas, results, failure modes, and regression gates for every change.
Shape how Mimo reasons, asks, explains, and recovers, and decide which model runs where.
MimoLabs builds Mimo, an agentic system for making physical things, from design to production across 3D printing, CNC, and laser cutting. We are a small, VC-funded, experienced team based in Detroit and remote across the US, fast, adaptable, and honest.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Serve as the scientific authority on ground truth for AI agents in neuroscience, testing expert-level reasoning across all system levels.
Build benchmark tasks and datasets for normal function and disease, curating multi-modal data and writing gold-standard expert answers.
Set hard calls on contested claims and interrogate agent reasoning, challenging fluent but unsound conclusions.
Latch builds rigorous scientific benchmarks for AI agents across biology, working with frontier labs and pharma to test whether agents can handle real biological workflows. The culture is radically transparent, opinionated but respectful, with structured autonomy, regular outings, and a preference for onsite work in SF.
Evaluate and compare original photographs with AI-generated images to identify inconsistencies and flaws.
Document findings on lighting, composition, perspective, texture, and overall image quality.
Upload original photographic content and collaborate with the project team.
The company is seeking photography professionals to support an initiative focused on evaluating and improving visual data quality for next-generation AI systems. The project combines human creative expertise with detailed image assessment to help improve AI-generated visual content.
Design realistic healthcare and medical tasks that challenge advanced AI agents.
Analyze clinical records, research findings, and healthcare data to identify inconsistencies and errors.
Develop reference solutions and evaluation criteria for AI-generated medical analyses.
Anyone AI creates high-quality training and evaluation data for frontier AI models. The company offers flexible, remote contract work focused on expert-driven AI evaluation and improvement.
Contribute to the technical approach for evaluating AI agents in diagnosing, treating, and researching rare and progressive diseases.
Build ground-truth benchmark datasets from studies and novel work that rigorously test agents' analytical and interpretive skills.
Collaborate with scientists, physician-scientists, engineers, and computational biologists to define strategy across multiple benchmarks.
Latch builds rigorous scientific benchmarks for AI agents across biology, measuring whether agents can handle real biological workflows. An early, tight-knit team, Latch practices radical transparency, uses AI constantly, and fosters a culture of respect, expert judgment, and community activities.
Lead high-impact AI projects like Maia, the Context Engine, and AI drafts.
Provide technical leadership and own architectural decisions for Moxie's AI systems.
Build production-grade LLM features with measurable quality, evaluations, and guardrails.
Moxie empowers ambitious aesthetic entrepreneurs to build profitable, independent practices without burnout. We are a global, remote-first team supporting 700+ practices, with values of ownership, giving, speed, care, and continuous learning.
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.
You will shape how AI agents are evaluated in immunology by contributing to the technical approach and benchmark design.
You will build ground-truth datasets from studies, your own experience, and novel work to test expert-level reasoning.
You will collaborate with software engineers and computational biologists to rigorously measure agent performance on real biological tasks.
Latch builds rigorous scientific benchmarks for AI agents in biology, working with frontier labs and pharma to measure real biological workflows. The culture emphasizes radical transparency, heavy AI use, and original expert judgment, with a collaborative team that enjoys outings, sports, and game nights.
Own customer adoption and go-live outcomes for Rad AI's radiology reporting products.
Serve as a radiology workflow consultant and product expert, driving training and configuration.
Partner with product, engineering, and sales teams to close-the-loop and scale best practices.
Rad AI develops AI-powered solutions that transform radiology workflows, reduce burnout, and improve patient outcomes. Backed by over $140M in funding and named to CNBC's Disruptor 50, the company is a fast-growing healthcare AI leader with a collaborative, mission-driven culture.