Utilize Automatic Prompt Generation and Automated Prompt Optimization tools to create and refine prompts for LLM autoraters.
Monitor shadowbot runs, ensure sufficient disagreements, and measure autorater quality using accuracy metrics like F1 scores.
Draft technical launch readiness justifications and handle edge-case scenarios by designing manual prompts.
Welo Data provides AI data validation services for global clients. As a freelance and remote employer, it offers flexible project-based roles with a focus on technical AI workflows.
Define and lead prompt framework design and strategy, including architecture, version control, and deployment for distributed teams.
Design complex prompt systems like multi-agent and chain-of-thought architectures for resume builder flows across global product lines.
Partner with Engineering, Product, and Data teams to align prompt strategies with model selection, API cost reduction, and performance budgets.
BOLD helps people find jobs through digital products used in 180 countries. As an established global organization, they have empowered millions to build stronger resumes and cover letters, with a culture that values expertise, learning, and diversity.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
Design and deploy agentic AI systems and LLM-based applications with a focus on scalability and reliability.
Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server.
The company specializes in developing advanced AI systems and LLM-powered applications for enterprise data transformation. The team is collaborative and innovation-driven, focusing on cutting-edge AI research and engineering.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Build the AI Platform Foundation by leading design and ownership of core infrastructure.
Standardize the AI Developer Path by architecting high-level abstractions and APIs.
Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.
Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows.
Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
This company is building next-generation AI systems that solve complex real-world cybersecurity challenges at scale. The organization is a rapidly growing, venture-backed technology company with an ambitious engineering team led by experienced leaders from globally recognized technology companies.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Build and evolve the core AI tutoring system with prompt architectures and agentic workflows.
Design and implement scalable software integrating AI with platform systems.
Collaborate cross-functionally with educators and product teams to translate pedagogical goals into technical solutions.
DataCamp empowers everyone with data and AI skills through practical learning experiences. It serves over 17 million learners and 6,000+ companies, including 80% of Fortune 1000, fostering a culture of data-driven decision-making and transparency.
Design and build production-grade AI and Generative AI solutions, including LLM applications, AI agents, and RAG pipelines, on Microsoft Azure.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and ITSM, ensuring scale, reliability, and security.
Contribute to responsible AI practices and implement governance controls such as data classification, prompt injection defenses, and audit logging.
Unit4 is an agile, fast-growing cloud company redefining Enterprise Resource Planning (ERP) for mid-market people-centric organizations. With over 40 years of heritage, it fosters a high-performance, people-first culture that values trust, autonomy, and inclusion.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Transform product concepts and AI-generated ideas into production-ready React experiences within short development cycles.
Establish high standards for AI-assisted product development through reviews, reusable patterns, and best practices.
Take ownership of projects from problem definition through launch, shaping the future of the Design Engineer function.
Jobgether is an AI-powered job matching platform that helps companies find top candidates quickly. The company is growing and operates remotely with offices in Kyiv, Warsaw, and Lisbon, fostering a culture of transparency and collaboration.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Evolving the AI knowledge platform with retrieval, indexing, and synthesis layer for organization-wide use.
Architecting and operating agentic infrastructure on AWS for multi-step AI systems.
Designing graph-based retrieval across data sources for multi-hop queries.
ShiftKey is a healthcare workforce marketplace that connects facilities with licensed professionals to fill shifts, mitigating staffing shortages. The company is in a high-growth phase with a friendly and engaging work environment.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Partner with business teams to identify high-value AI use cases across company functions.
Design and build AI-powered solutions using LLMs, prompt engineering, and workflow automation.
Rapidly build prototypes and proof-of-concepts to validate business value and technical feasibility.
Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company fosters a collaborative work environment where employees feel valued and inspired.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
Review and refine AI-generated outputs related to corporate law, contracts, regulatory compliance, and legal documentation
Evaluate the practicality and accuracy of AI recommendations for legal risk, transactional work, and compliance issues
Create and develop real-world scenarios and case studies from your legal experience
10x Team connects top freelance professionals with leading AI labs to accelerate innovation in artificial intelligence. They seek seasoned corporate lawyers based in the EU or UK to train AI systems focused on corporate law, contract analysis, and compliance.