Design and execute test cases to validate AI-generated outputs.
Review and annotate datasets to improve machine learning model quality.
Analyze model predictions and report findings to enhance performance.
Jobgether is an AI-powered job matching platform that connects candidates with roles from partner companies. It uses algorithmic shortlisting to ensure applications are reviewed quickly and fairly, and it emphasizes data privacy and transparent hiring processes.
Review and approve final deliverables for analytical soundness, traceability, limitations, scope, and acceptance criteria.
Check that findings are supported, data gaps and uncertainty are stated, and AI-assisted results were validated by a person.
Document required corrections, confirm they were made, and record your approval.
TechSilo is a small technology and engineering services firm in Fredericksburg, Virginia, supporting federal defense customers and growing into higher education and public-sector analytics. The team is small and senior, with the CEO serving as Program Director, so your review goes directly to decision makers.
Develop AI and ML solutions as part of the Enterprise AI Center of Enablement.
Build and deploy machine learning models on the Unified Enterprise Agentic Architecture (UEAA).
Partner with MLOps engineers to package, deploy, and monitor agentic and ML workloads on UEAA.
Intermountain Health uses industry leading data science and artificial intelligence to deliver on its mission to help people have the healthiest lives possible. As a nonprofit system, we operate 34 hospitals and over 400 clinics, employing more than 4,800 physicians and advanced care providers.
Own and deliver advanced analytics for product and business domains using large datasets.
Design, execute, and analyze A/B experiments to measure feature impact and inform product iteration.
Build metrics, dashboards, and readouts that enable stakeholders to make informed decisions.
Maleda Tech is a company behind a consumer-facing mobile app within a global marketplace. The team values independent, execution-focused work and close collaboration with product and business stakeholders.
Evaluate AI-generated coding interactions from beginning to end, assessing quality and effectiveness.
Provide detailed, opinionated written feedback on AI outputs and reasoning.
Help define and refine quality benchmarks for AI coding agents.
The company focuses on improving AI coding agents through expert evaluation. It operates with a small, remote team and values technical excellence and critical thinking.
Write and optimize R, Python, or SQL scripts for data processing and analysis.
Apply machine learning and statistical methods to inform data-driven decisions.
Collect, aggregate, and visualize data while collaborating with internal and external teams.
iSpot is a Seattle-based ad tech startup providing TV measurement and analytics to help brands optimize advertising. The company offers competitive salary and equity, with a flexible, collaborative culture focused on curiosity and innovation.
Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.
GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.
Maintain and improve AI and Machine Learning learning materials to ensure technical accuracy and functionality.
Analyze learner feedback and support data to identify and resolve content issues, improving engagement and outcomes.
Collaborate with cross-functional teams to debug code, validate technical solutions, and optimize learning journeys.
Our partner is a company focused on AI and Machine Learning technical education, providing high-quality learning experiences. They operate as a remote team with an international workforce, contributing to innovative AI education initiatives.
Lead research, discovery, and development of machine learning models for media measurement.
Extract and analyze massive datasets to uncover insights shaping product strategy.
Collaborate with engineering and product teams to deploy scalable models and communicate findings.
Cint is a pioneer in research technology, enabling customers to post questions and get answers from real people to build business strategies and measure digital advertising. With nearly 300 million respondents in over 150 countries, the company feeds the world's curiosity.
Evaluate and provide feedback on search engine results, text, audio, images, and videos to enhance AI data quality.
Conduct online research to assess relevance and significance of content, ensuring accuracy and quality standards.
Work flexible part-time hours (10-20 per week) remotely, contributing to the improvement of AI-powered search experiences.
RWS is a global leader in language services and technology, providing translation, localization, and AI training data solutions. The TrainAI division focuses on improving AI models through human feedback, fostering a flexible and inclusive culture for remote workers.
Label and annotate objects, text, or visual data according to strict guidelines.
Review and verify the accuracy of datasets used to train AI models.
Consistently follow project rules and quality standards to ensure data integrity.
Mindy Support develops modern artificial intelligence and machine learning training solutions. They are a growing global team with a focus on data annotation and flexible remote work.
Lead the development and growth of innovative call intelligence solutions that transform conversations into actionable business insights.
Own the product strategy, roadmap, discovery, and execution across cross-functional teams including engineering, data, and machine learning.
Drive data-informed decisions and product improvements to enhance customer outcomes and revenue capture.
Our partner develops AI-powered call intelligence solutions that transform healthcare conversations into actionable insights for improving operations and revenue. They operate with a remote-first, globally distributed team across India and the United States.
Evaluate GPU kernel tasks for technical accuracy, realism, and reproducibility.
Identify memory allocation bugs, execution bottlenecks, and errors in parallel computing logic.
Provide clear, actionable feedback to improve AI training and evaluation workflows.
A partner company operating a specialized AI training project to improve the technical accuracy of AI systems. The company seeks experienced technical professionals for freelance, remote evaluation work, emphasizing precision and evidence-based assessment.
Develop and maintain analytical solutions to support data-driven decision-making across multiple business functions.
Collaborate with cross-functional teams to transform business requirements into reliable reporting systems and actionable insights.
Lead reporting and analytics initiatives to ensure accurate and consistent data access and usability.
The company focuses on data-driven decision-making across various business functions. The team size and culture are not explicitly stated but emphasize collaboration and innovation.
Lead analytical strategy for complex operational and programmatic questions, ensuring alignment with customer priorities.
Design and maintain Dataverse data models, statistical models, and machine-learning solutions using Python and SQL.
Communicate complex findings clearly to technical and nontechnical stakeholders while mentoring analysts.
LMI is a consulting firm that supports federal agencies with advanced analytics, technology, and mission-focused solutions. It is a large, employee-owned organization known for a collaborative culture and commitment to innovation.
Train ML models on blockchain data and take them from research to production.
Build AI agents and fine-tune LLMs to generate intelligence beyond hand-built heuristics.
Ship production-quality code with rigorous evaluation and scalable architecture.
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. The team is mission-driven and fast-paced, with experts in law enforcement, data science, engineering, and financial intelligence tackling complex global challenges.
Evaluate AI-generated responses against professional legal and compliance standards.
Simulate realistic legal tasks and interact with AI assistants to provide structured feedback.
Assess and challenge outputs to ensure accuracy, quality, and relevance.
The company is an innovative AI-focused project dedicated to developing and improving advanced AI assistants. It offers a flexible, fully remote working environment where independent contractors contribute professional expertise to cutting-edge technology.
Record natural, spontaneous speech in Eastern Punjabi/Punjabi (India) following project guidelines.
Complete conversational recording tasks and annotate audio data accurately.
Work flexibly from home with a quiet setup and submit metadata for quality assurance.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through an objective screening process. It leverages AI tools to review applications and support recruitment decisions.
Transform complex data into actionable insights and strategic decisions for multiple SaaS products.
Analyze the full customer journey, including acquisition, engagement, payments, revenue, and retention.
Collaborate with cross-functional teams and integrate AI-powered tools to improve analytical workflows.
The company is a growing, fully distributed international team managing several global digital products and subscription-based SaaS solutions. Their culture is innovative, performance-oriented, and built around trust, flexibility, autonomy, and continuous learning.
Analyze user journeys, activation, engagement, retention, and monetization to guide product improvements.
Design and evaluate A/B tests, define product metrics, and build reusable analytical datasets with SQL and dbt.
Use Python for statistical analysis and incorporate AI coding tools to accelerate development and analysis.
Phantom is on a mission to connect the world to the freedom of open markets with a self-custody crypto wallet and trading app. The company is around 180 people, fully remote, and backed by a $150M Series C from a16z, Sequoia Capital, and Paradigm.