About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Expert Team Lead, Engineering based in Romania.
Responsibilities
- Own end-to-end quality and delivery for assigned Human Data projects, personally reviewing engineering-domain work and ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale.
- Lead, coach, and performance-manage a team of AI Tutors, including full-time employees and contractors.
- Oversee and actively participate in labeling and review activities to maintain high standards.
- Ensure consistent adherence to project guidelines, taxonomies, and quality assurance processes.
- Identify operational bottlenecks and implement process improvements.
- Monitor performance through KPI dashboards, using metrics such as quality, throughput, and send-back rates.
- Create, maintain, and deliver training materials, practice exercises, and certification benchmark tasks.
- Manage certification processes and make appropriate workforce adjustments.
- Collaborate with Human Data Managers, other Team Leads, and Engineering teams to translate model requirements into clear labeling strategies.
- Coach and develop team members while maintaining accountability and a high-performance culture.
- Document project outcomes, recommend process iterations, and communicate project status, risks, and results.
Requirements
- Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or another closely related engineering discipline.
- At least 2 years of professional engineering experience in areas such as design, analysis, testing, research and development, or systems integration; alternatively, a Master's degree or higher in engineering or a related field.
- Basic understanding of artificial intelligence and machine learning concepts.
- Advanced engineering degree such as an MS or PhD, or professional credentials such as PE or FE/EIT, is preferred.
- Demonstrated experience with data-quality metrics, annotation processes, and guideline-driven workflows.
- Breadth across multiple engineering disciplines.
- Experience with performance management, coaching, training program development, or certification frameworks.
- At least 1 year of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a similar operational field is preferred.
- Experience developing scalable, high-performance technology applications is advantageous.
- Previous experience leading small teams in data labeling, annotation, or related operational environments is preferred.
- Proven ability to manage multiple concurrent projects, prioritize effectively, and deliver in a fast-paced environment.
- Strong analytical capabilities and experience using data and KPIs to drive continuous improvement; SQL knowledge is a plus.
- Experience managing distributed teams or mixed employment structures.
- Excellent written and verbal communication skills.
- Strong organizational skills, attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset.
- Strong domain expertise in at least one relevant area such as Finance, STEM, Coding/Software Engineering, or another technical field.
Conditions
- Competitive compensation, with international salary details provided during the recruitment process.
- For eligible U.S.-based positions, base salary ranges from $104,000 to $170,400 USD.
- Equity opportunities as part of the overall rewards package.
- Comprehensive medical, dental, and vision coverage.
- Access to a 401(k) retirement plan for eligible U.S.-based positions.
- Short- and long-term disability insurance.
- Life insurance.
- Paid sick leave for eligible U.S.-based positions.