• Deliver multiple retained executive search assignments across specialist sectors.**** • Partner with senior stakeholders to prepare key search documentation, including client briefs, role profiles, and candidate screeners.**** • Conduct detailed market mapping, identifying target companies, competitor landscapes, and relevant talent pools.**** • Build high-quality longlists by identifying and approaching senior-level candidates through research, networking, and direct outreach.**** • Engage and assess candidates through structured, competency-based interviews.**** • Develop strong shortlists aligned with client requirements, leadership competencies, and cultural fit.**** • Produce high-quality candidate reports, search updates, and market insight documentation.**** • Maintain accurate records within internal systems and ensure compliance with search processes.**** • Coordinate interviews and manage communication between candidates and clients.**** • Support offer management and ensure a seamless, high-touch candidate experience.**** • Gather and share market intelligence to support ongoing business development and sector expertise.**** • Contribute to continuous improvement of search methodologies and delivery standards.

• Define and execute the long-term technical vision for the Lime Vision team • Architect and own the development of real-time solutions for tandem riding and sidewalk riding prevention • Lead the effort to fuse camera-based computer vision with other vehicle sensors • Collaborate with hardware and firmware teams to optimize vision algorithms • Oversee the entire lifecycle—from data strategy to model deployment • Act as the primary technical authority for Computer Vision • Partner with cross-functional teams to translate city-mandated safety goals

• Technical Strategy & Roadmap: Define and execute the long-term technical vision for the Lime Vision team, prioritizing high-impact solutions for parking compliance and rider safety. • Complex Problem Solving: Architect and own the development of real-time solutions for tandem riding (multi-person detection), sidewalk riding prevention, and precision parking validation using advanced scene understanding. • Advanced Data Fusion: Lead the effort to fuse camera-based computer vision with other vehicle sensors to create a high-confidence, 360-degree understanding of vehicle state and environmental context. • Hardware-Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for resource-constrained edge devices, ensuring low latency and high reliability in diverse weather and lighting conditions. • End-to-End Ownership: Oversee the entire lifecycle—from data strategy and sensor selection to model deployment and post-launch performance monitoring in the field. • Technical Leadership & Mentorship: Act as the primary technical authority for Computer Vision (CV) at Lime; mentor senior scientists and engineers to foster a culture of rigorous, production-oriented research. • Cross-Functional Influence: Partner with Product, Government Relations, and Operations to translate city-mandated safety goals into robust, scalable technical requirements. • Strategic Innovation: Stay at the forefront of AI research, identifying emerging technologies that can be adapted to solve unique micromobility challenges.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. The position is for an Astronomy Expert on a contract basis. - Write original and advanced IAO-style astronomy problems to challenge frontier AI models. - Evaluate AI-generated solutions for correctness, clarity, and reasoning quality. - Identify where models fail, including logical flaws, incomplete reasoning, or insufficiently rigorous derivations. - Provide clear, concise, and correct solutions and reasoning, formatted in LaTeX. - Maintain extremely high standards of precision, scientific rigor, and problem difficulty. - Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications - Master’s or PhD in astronomy or a related field. - Olympiad participant or medalist in the IAO or equivalent competitions. - Proficiency in writing and formatting documents using LaTeX. - Deep understanding of core theoretical and observational concepts in astronomy and astrophysics. - Ability to articulate reasoning and derivations clearly in written form. - Strong ability to evaluate the rigor and complexity of astronomy problems. - Rigorous attention to detail in verifying solutions. Requirements - Rolling start dates; setup typically within 1–2 days of approval. - Application process takes 20–30 minutes to complete. - Submit your resume or CV highlighting your astronomy background and relevant achievements. - Complete a brief interview (20–30 minutes). - Submit a short form detailing your experience writing problems and competing in astronomy or related Olympiads. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .