• 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 .

Role Description - Write and refine prompts to guide model behavior in physics contexts. - Evaluate LLM-generated responses to physics-related queries for conceptual accuracy and reasoning quality. - Conduct fact-checking using authoritative public sources and domain knowledge. - Annotate model responses by identifying strengths and areas of improvement. - Assess clarity, structure, and appropriateness of explanations for different audiences. - Apply consistent evaluation standards by following clear taxonomies and benchmarks. Qualifications - Must-Have: - PhD in Physics or closely related field. - Deep expertise in Classical Mechanics & Dynamics, Electromagnetism, Thermodynamics, Quantum Physics, or Relativity. - Significant experience using large language models (LLMs). - Excellent writing skills and ability to explain complex physics concepts. - Strong attention to detail and experience reviewing technical writing. - Preferred: - Experience with RLHF, model evaluation, or data annotation work. - Experience teaching or explaining physics concepts to non-experts. - Familiarity with evaluation rubrics or structured review frameworks. Requirements - Full-time or Part-time Contract Work - Compensation: $73/hour - Location: USA, UK, Canada, EU Application Process - Upload resume - AI interview based on your resume - Submit form 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 - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.