Manual Quality Assurance Engineer, Web Core Product
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas, improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice. They evaluate AI-generated solutions for correctness, assumptions, and engineering logic. They validate analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas. Contributors improve AI reasoning to align with first principles and accepted engineering standards. They apply structured scoring criteria to assess multi-step problem solving.
Engineering Manager, Product Engineering
The Engineering Manager, Product at Harvey is responsible for owning end-to-end delivery of core product initiatives, from technical design through execution and iteration, while managing a high-performing fullstack engineering team. This includes setting technical direction for large-scale, AI-powered systems such as retrieval over petabyte-scale document collections, product interfaces for AI collaboration, long-horizon planning agents for critical workflows, government-grade security for sensitive data, evaluation of LLMs across extensive taxonomies, and internet-scale data collection across multiple jurisdictions. They must translate product vision into architecture balancing speed, quality, and scalability, lead hands-on contributions to design, code, and architecture reviews, and actively engage in implementation to unblock the team or solve difficult problems. Additionally, they build and grow the team by hiring engineers, setting technical and behavioral standards, and mentoring for career development. The role involves close partnership with Product, Design, and AI teams to identify opportunities and deliver intuitive user experiences, establishing an engineering culture focused on simplicity, ownership, craftsmanship, and continuous improvement, and aligning execution with company goals to support product strategy and long-term impact.
Audio Engineer
The Audio Engineer will own and scale audio quality across voice AI products, ensuring voices sound great to human listeners across thousands of voices and recording conditions. Responsibilities include identifying and correcting audio artifacts, loudness inconsistencies, frequency imbalances, and sibilance issues in large-scale voice datasets; designing and implementing scalable audio processing pipelines including EQ, compression, de-essing, dynamic range optimization, and normalization strategies; optimizing audio quality across real and synthetic voices for consistent product experience; leading audio quality decisions during on-site voice actor recording sessions such as microphone selection, placement, gain staging, and environment setup; defining, documenting, and enforcing audio quality standards for external vendors to meet training and product needs; converting manual audio workflows into automated, repeatable, code-based systems; collaborating with research to improve training data quality, especially TTS speaker-specific fine-tuning; and contributing to synthetic data pipelines by defining and validating acoustic characteristics and guiding sound profile production and evaluation.
Evaluation Scenario Writer - AI Agent Testing Specialist
Contributors create structured test cases that simulate complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure that scenarios are production-ready, easy to run, and reusable.
Freelance Mechanical Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
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