Role Description - Benchmark baseline model performance on a representative image sample. - Measure accuracy against a held-out set and assess data quality. - Evaluate the realistic performance ceiling of the computer vision system. - Translate findings into a decision-grade report for a non-technical executive audience. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Must-Have: - 5+ years in computer vision and ML engineering. - Experience classifying or grading physical objects from images. - Strong evaluation discipline in representative sampling and accuracy benchmarking. - Ability to assess feasibility and communicate clearly to a non-technical audience. - Preferred: - Experience with authentication, counterfeit, or anomaly detection. - Exposure to private equity diligence or time-boxed advisory work. - Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment. Requirements - Contract type: Hourly contractor. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Title: Part-Time Faculty - Computer Science (Graduate Level - Online) Location: Remote, USA Job Description: The College of Arts and Science at Anderson University (South Carolina) invites applications for online instructional positions in our Computer Science M.S. degree. Areas of immediate need include online courses at the graduate level in algorithms/data structures, computational theory, hardware/architecture, and networking/OS. Minimum requirements: Master’s degree in Computer Science or Computer Engineering to include 18 graduate hours in the teaching discipline. College-level teaching experience preferred. Classes are fully remote; however opportunity for an in-person/hybrid component to the course is available. Anderson University is a selective, student-centered Christian university providing a challenging education grounded in the liberal arts, enhanced by professional and graduate programs and a co-curricular focus on the development of character, servant leadership, and cultural engagement. Our faculty strive to provide students with the knowledge to discover, build, serve, create, succeed, and innovate. Affiliated with the South Carolina Baptist Convention, we seek to attract culturally and academically diverse faculty of the highest caliber, active in the scholarship of teaching, discovery, application, and integration of faith. About our Commitment to Fairness in Employment Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources.

• Own the development and deployment of advanced CV models — object detection, multi-object tracking, camera calibration, and semantic segmentation — for player tracking across multiple sports • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis that hold up under the demands of professional and collegiate programs • Contribute across the full CV/ML lifecycle, from data gathering, model development and training through production deployment, monitoring, and iterative refinement • Drive R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research — with real latitude to explore within the scope of each project • Collaborate closely with Software Engineering, Product, and Data Ops to ensure your work is understood, integrated, and used correctly downstream

• Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID). • Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements. • Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy. • Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful. • Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups). • Collaborate on dataset + labeling design: formats, schemas, tooling, versioning. • Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks. • Add lightweight quality gates: reproducibility, automated eval, regression detection.