Rating and assessing the performance of AI models based on their output or behavior.
Labeling and categorizing content to train machine learning models.
Generating prompts, responses, and summaries to improve language model reasoning.
Innodata is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. With over 36 years of experience, the company focuses on enabling responsible AI advancement.
Lead end-to-end data governance workstreams including data cataloging, data quality, metadata management, lineage, and access control frameworks.
Translate client business needs into governance solutions and roadmaps without requiring significant oversight.
Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.
Lovelytics helps enterprises modernize their data and implement AI, delivering over $2B in business value for Fortune 500 clients. They have grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture that earned them a Best Places to Work recognition.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Own and evolve the marketing data platform, designing and maintaining ETL/ELT pipelines on BigQuery and dbt that scale with growing measurement needs.
Design, build, and deploy AI agents and applications on Google Cloud to automate marketing and product workflows, giving teams self-serve leverage.
Uphold engineering best practices across an AI-assisted codebase, ensuring version control, code review, automated testing, and secure, reproducible deployments.
Absorb Software is a leading AI-driven learning platform provider, helping organizations unlock workforce potential through strategic learning systems. Trusted by over 3,300 organizations and 34 million users, the company fosters a culture of genuine care, unity, and continuous learning.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Listen to two audio recordings and evaluate which is better.
Follow project guidelines to make consistent choices.
Complete 20-23 cases per hour remotely.
CrowdGen by Appen is an AI data company that improves AI systems through human feedback. They offer flexible, project-based remote work for independent contractors.
Serve as the primary Hindi language expert, owning quality, data, and product performance.
Coordinate with the Human Evals Manager to manage annotation quality and deliver feedback.
Work independently to audit datasets, investigate issues, and develop onboarding materials.
Cartesia architects AI that learns from and interacts with the world, pioneering state space models for efficient large-scale foundations. Backed by leading investors and staffed by Stanford AI Lab PhDs, it fosters a fast-paced, inclusive culture.