FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Data Operations and Project Coordination, with a strong focus on translating model improvement objectives into actionable data requirements and workflows. Proven ability to manage project delivery, ensuring quality standards and effective communication with clients and stakeholders.
Highest-signal resume keywords
AI Data Operations ExperienceProject CoordinationData Quality AssuranceModel Evaluation Workflow FamiliarityBilingual Capabilities
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model EvaluationData Requirements TranslationQuality Standards DefinitionRubric DesignReinforcement Learning From Human FeedbackAnnotation WorkflowsBenchmark DevelopmentTroubleshootingOrganizational SkillsProject Delivery Management
Soft Skills
Client CommunicationStatus ReportingMentoringProblem-SolvingStakeholder Management
Industry Keywords
Frontier AIAI CompaniesModel ComparisonEvaluation CreationQuality Assurance Methods
About the role
Key responsibilities & impact- Lead AI companies in developing and improving frontier models through high-quality data programs
- Own end-to-end project delivery, including scope, timelines, budgets, staffing, and risk management
- Lead client communication, status reporting, planning sessions, and escalations
- Translate model improvement objectives into data requirements, workflows, rubrics, and evaluation plans
- Define quality standards and acceptance criteria for preference data, model comparisons, and evaluation outputs
- Monitor delivery quality, investigate inconsistencies, and resolve ambiguous requirements with clients
- Advise on data design, evaluation approaches, and project feasibility
- Develop reusable guidelines, SOPs, and QA frameworks
- Mentor Operations Specialists and contribute to project scoping, pilots, and new capability development
- Work closely with clients and internal teams to translate AI research needs into reliable datasets and measurable outcomes
Requirements
What you’ll need- 1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment
- Familiarity with at least one AI post-training or model evaluation workflow
- Experience coordinating projects or workstreams, managing stakeholders, and communicating with clients
- Understanding of data quality, annotation workflows, and quality assurance methods
- Ability to translate evolving requirements into clear workflows, rubrics, and measurable quality standards
- Strong troubleshooting and organizational skills, with the ability to manage multiple priorities
- Interest in current AI developments, including frontier models and post-training approaches
- Experience with reinforcement learning from human feedback (RLHF), preference data, or model response evaluation
- Familiarity with rubric design, model comparison, benchmark development, or evaluation creation
- Experience assessing model responses for quality, accuracy, reasoning, or instruction following
- Exposure to AI companies, frontier AI labs, or model evaluation programs
- Bilingual capabilities, particularly German or a Nordic language, as a nice-to-have
Benefits
Comp & perks- Permanent - Regular Full-time employment
- Remote work arrangement
- Flexibility to deliver in a way that works for you and your team
- Tools, resources, and development opportunities to build capability over time
- Work on complex AI challenges across industries and geographies
- Collaborative culture valuing innovation, curiosity, accountability, excellence, and humility