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As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.

• Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises.

• Design complex LLM prompts that accurately represent real customer journeys and service interactions.
• Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
• Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

This role validates Veeva AI Agents through evaluation. You will define strategies for new AI Agents. The role involves analysis of model behaviors to identify defects.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

• Explore and preprocess raw, messy datasets and design data strategies.
• Prototype model ideas and translate prototypes into production.
• Collaborate with cross-functional teams to turn ideas into impactful features.

Hostinger is shaping the future of online success powered by AI and driven by people with over 4 million clients in 150 countries.

• Build the “Source of Truth” for the entire company, replacing intuition with evidence backed by real-time data.
• Lead internal AI strategy, moving beyond chatbots to Agentic Workflows by building and deploying autonomous agents.
• Recruit and manage a lean, elite team of 2-4 Data Engineers, Analytics Engineers, and AI Prototypers.

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited. They're looking to bring on the most brilliant minds to help further their mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

• Set program quality goals, roadmap, and operating rhythms.
• Manage a team of Analysts and Coordinators; hire, coach, and run performance cycles.
• Co-own client governance with Ops; align on scope, priorities, and changes.

Welo Data provides high-quality, ethically sourced, relevant, diverse, and scalable datasets to technology companies to supercharge their AI models. As a Welocalize brand, they bring together a global community of over 500,000 AI training and domain experts.

• Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
• Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.

Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.

• Own the product lifecycle for AI-based decision-support tools, including roadmap planning, feature prioritization, and technical configuration
• Serve as lead system prompt engineer, creating and maintaining instructions for LLM-based products
• Collaborate with clients, internal teams, and stakeholders to conceptualize, test, and implement new features

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

As a Principal Decision Scientist, you will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. You will design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences

Improve the performance and lifecycle of production ML systems. Collaboratively design and deploy end-to-end ML models, LLMs, and agent systems. Lead the strategy and execution of proofs of concept to validate technical feasibility.

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets by leveraging AI and machine learning technologies.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

In this role, you will drive the strategic and technical direction of AI engineering across multiple product lines, shaping how advanced AI capabilities power user-facing automation experiences. You will lead high-impact engineering teams, guiding experimentation, architecture decisions, and end-to-end delivery of AI-driven solutions. Working closely with product, design, and go-to-market teams, you will help define the roadmap, unify core AI initiatives, and turn bold ideas into scalable outcomes.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Set the company-wide strategy for product analytics, business metrics, and GTM insights.
• Define the core measurement frameworks for product usage, activation, retention, expansion, and customer value.
• Ensure analytics meaningfully influence product roadmap decisions, GTM strategy, and operational planning.

Freshpaint helps healthcare marketers promote access to care and safeguard patient privacy. The company is fully remote, backed by leading investors including Y-Combinator, Intel Capital, and angel investors, and it gathers the team 2x times per year for offsites.

• Building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data.
• Developing applications on Google Cloud and working with customers to understand their requirements.
• Implementing best practices and state-of-the-art techniques for AI and LLMs.

Egen is a fast-growing and entrepreneurial company with a data-first mindset which brings together the best engineering talent.

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Set client QA strategies and adapt to scope/volume changes.
• Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.
• Plan training & certification for raters/annotators and coordinators; track completion and impact.

Welo Data provides high-quality, ethically sourced, relevant, diverse, and scalable datasets to technology companies to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience and brings together a curated global community of over 500,000 AI training and domain experts.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Drive the vision and execution of customer-facing SaaS products, data-driven features, and AI/ML solutions. Translate deep technical capabilities from data science and engineering into clear, quantifiable business value. Work directly with key clients to co-develop innovative solutions.

WorkWave provides creative solutions that directly contribute to the success of their customers and builds strong partnerships based on trust.