• Designing a (nearly) deterministic knowledge graph for the structured representation of text-based requirements • Defining a domain-specific semantic model and ontology, including reasoning mechanisms for verifiable GraphRAG queries • Implementing the proposed concepts end-to-end, including delivering a scalable minimum viable product (MVP) based on approved toolchains • Evaluating and validating the approaches using real‑world requirements from selected parking functions (SAE Level 2) • Demonstrating correctness, completeness, traceability, and certifiability of the generated results in close collaboration with industrial and academic partners

• Own and operate OpenLoop's AI governance program end-to-end — use-case intake, risk triage and scoring, the AI Use Case Register, issue tracking, and the AI Governance Council review cadence. • Author and evolve OpenLoop's AI governance standard — the scoring rubric, risk taxonomy, and review framework — keeping it current with evolving AI risk frameworks and the U.S. regulatory landscape, including new federal executive orders and emerging state AI laws. • Run intake and review to SLA: assess new AI use cases, document risk and regulatory exposure, set conditions of approval, and drive findings to closure. • Prepare and lead AI Governance Council sessions — agenda, materials, and recommendations — so decisions get made, recorded, and acted on without escalation. • Help stand up and then run OpenLoop's data governance program on the same model — the Data Governance Council, the data governance standard, the enterprise data classification scheme, and the data ownership and stewardship model. • Measure adherence to the data governance standard across the operating teams, and report clearly where the organization is and is not meeting it. • Partner with the teams that operate data day to day — Privacy, Data Security, Data Protection (DLP), Data Platform, and Data Engineering & Analytics — setting the standards they run against and measuring whether they're met. • Govern the data that feeds AI systems as a priority slice of both programs — provenance, lineage, classification, and quality of training and inference data — so models are built on trustworthy, appropriately handled data. • Assess AI vendor and model risk in partnership with Third-Party Risk, Security, and Legal — including standalone AI tools and AI features embedded in existing vendors. • Maintain AI and data governance metrics, dashboards, and reporting. Translate AI and data risk posture into language the leadership team and board can act on. • Support SOC 2, HITRUST, and HIPAA assurance activities related to AI and data governance controls. • Use AI to run the program — automate your own governance workflows for intake, scoring, evidence gathering, and reporting, and keep improving them. • Other duties as assigned.

Role Description In this role, you will: - Review and evaluate AI conversations and model outputs - Assess responses for safety, quality, accuracy, policy compliance, and user intent - Identify harmful, unsafe, misleading, or low-quality behavior - Label and categorize model outputs according to internal evaluation frameworks - Moderate sensitive content and identify policy violations - Compare, rank, and score model responses - Investigate edge cases and ambiguous situations - Provide structured feedback to researchers and engineers - Help improve evaluation guidelines and annotation processes - Contribute to the datasets used to train and evaluate AI systems Qualifications - Has exceptional attention to detail - Can make consistent decisions across large volumes of data - Enjoys analyzing nuanced situations where there isn't always a clear answer - Can follow guidelines while exercising good judgment - Has strong written English skills - Communicates clearly and explains reasoning well - Is curious about AI and how these systems work Requirements - Have experience with content moderation, trust & safety, quality assurance, compliance, or policy enforcement - Have experience in data annotation, AI evaluation, RLHF, or model assessment - Have worked with AI tools extensively and understand their strengths and limitations - Enjoy finding edge cases and unusual model behavior Important Note This role may involve reviewing content that is offensive, harmful, violent, sexual, or otherwise disturbing. We provide tooling and support, but candidates should be comfortable working with sensitive content when necessary. Benefits - Salary of $30,000 to $50,000 + equity - Paid time off in line with your local regulations, no matter where you work from - All the hardware, tools, and services you need How We Hire - Intro call with HR (25 min) - Take-home assignment - Final conversation with our CEO (35 min)

Role Description Volga Partners is launching a pilot initiative to build a diverse network of English-speaking contributors across select international markets who can support current and future Artificial Intelligence (AI), language data, content quality, and evaluation projects. This pilot program is designed to identify individuals with strong English communication skills, attention to detail, and the ability to follow structured guidelines while building a foundation for future project opportunities. - Current project work consists primarily of Entry-Level (L1) tasks such as content review, annotation, validation, categorization, transcription, and quality assurance activities. - Future project opportunities may vary in scope, complexity, and subject matter focus. This is a freelance, task-based opportunity designed for individuals seeking flexible, supplemental work while gaining exposure to AI and language data projects. - Work is offered on a first-come, first-served basis as tasks become available. - Hours may fluctuate depending on project volume, client demand, and business needs. - Tasks are structured, guideline-driven, and execution-focused. Qualifications - Strong written and reading proficiency in English. - Detail-oriented and comfortable following structured guidelines. - Ability to perform repetitive tasks with consistency and accuracy. - Interest in AI, language technology, content quality, or data operations. - Adaptable and willing to learn new workflows and tools. - Ability to work independently with minimal supervision. - Welcoming candidates from a variety of educational and professional backgrounds, including but not limited to: - Human Resources & Recruiting - Legal & Compliance - Information Technology - Computer Science - Business Administration - Operations - Marketing & Communications - Education & Training - Research & Analytics - Healthcare Administration - Customer Support - Quality Assurance - Finance & Accounting Requirements - Strong English reading and writing skills. - Reliable computer or laptop. - Stable internet connection. - Ability to follow written guidelines and instructions. - Comfortable with flexible and intermittent work availability. - Must understand this is a freelance, task-based opportunity. Benefits - Flexible, supplemental work opportunity. - Tasks are offered on a first-come, first-served basis. - High-performing contributors may be considered for future programs as they become available. Engagement Type & Classification - This is a freelance, task-based engagement. - Independent Contractor engagement through Deel. - No guaranteed minimum hours. - No guaranteed end date. - Classification subject to local compliance requirements. Compensation - Compensation for current Entry-Level (L1) projects ranges from $2.00–$2.50 USD per hour depending on project requirements, experience, market alignment, and scope of work. - Future projects may vary in scope and compensation based on client needs, budget, complexity, and business requirements. Location Eligibility - We welcome applications from qualified candidates across select international markets, subject to project requirements, language proficiency, local compliance considerations, and compensation alignment within each market. - This opportunity is intended for international contractor markets outside of the United States.