Engineering Leader
As an Engineering Leader at Ema, you will build and lead a high-performance engineering organization by recruiting, hiring, and developing senior engineers across multiple sub-teams including cloud infrastructure, data platform, ML operations, and developer experience. You will establish engineering standards, a code review culture, on-call expectations, and promote a bias-toward-shipping mentality balanced with production rigor. You will coach and grow senior and staff engineers into technical leaders and manage engineering managers as the organization scales. Your responsibilities include setting the 6–18 month platform roadmap in partnership with engineering teams, making critical architectural decisions such as build versus buy and migration strategies, and driving cross-functional alignment with product, ML/AI research, and go-to-market teams. You will own production health for all platform services, including incident response, postmortems, SLO tracking, and capacity planning. Additionally, you will establish and refine engineering practices to maintain fast shipping without compromising reliability, and participate in executive-level reviews related to infrastructure spend, system health, and engineering velocity.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer, responsibilities include designing original computational data science problems that simulate real-world analytical workflows across industries such as telecom, finance, government, e-commerce, and healthcare. Tasks involve creating problems that require Python programming to solve using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn. Problems must be computationally intensive and not solvable manually within reasonable timeframes. The role requires developing problems that involve non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Problems must be deterministic with reproducible answers, avoiding stochastic elements or requiring fixed random seeds. Design problems should be based on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. The trainer must design end-to-end problems spanning the complete data science pipeline including data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Incorporation of big data processing scenarios requiring scalable computational approaches is needed. Additionally, solutions must be verified using Python with standard data science libraries and statistical methods. Problem statements should be clearly documented with realistic business contexts and verified correct answers must be provided.
Automotive Engineering & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level automotive 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.
Machine Learning Developer (Freelance)
As a Machine Learning expert on the Mindrift platform, you may design original computational STEM problems that simulate real scientific workflows requiring Python programming to solve. These problems should be computationally intensive and not solvable manually within reasonable timeframes, involving non-trivial reasoning chains and creative problem-solving approaches. You will verify solutions using Python with standard libraries like numpy, pandas, scipy, and sklearn, and document problem statements clearly while providing verified correct answers.
Application Engineer
Run projects together with customers' engineering teams, analyze and process engineering data using their platform and python libraries, develop tailored solutions and workflows, apply machine- and deep-learning workflows to different engineering/physics problems, deliver proofs-of-concept demonstrating the value of their technology in CAD, CAE, and manufacturing, train customer teams to effectively use their methods and platform ensuring smooth AI adoption into their workflows, and work closely with developers to translate customer needs and feedback into product improvements.
Freelance AI Evaluation Engineer (Python/Full-Stack)
Create challenging coding test cases to push AI coding systems to their limits by reviewing and refining realistic coding tasks based on provided production codebases with realistic scope, requirements, and information sources. Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases. Craft challenges that are fair but hard, where the AI has all the context it needs, requiring complex reasoning with information scattered across files and external sources. Analyze AI failures to understand the model's struggles and strengths. Iterate based on feedback from expert QA reviewers who score work on seven quality criteria.
Remote AI Agent Specialist (Freelance)
As an AI Agent Assistant, you collaborate with large language models (LLMs) that handle repetitive tasks, bringing nuance, judgment, and creativity to deliver high-quality results. You work alongside AI to shape and complete outputs ensuring accuracy, reliability, and readiness for real-world application. Your tasks may include fact-checking scientific claims, curating datasets, conducting market research, and refining sales leads. Your mission is to deliver well-reasoned, accurate, and clearly written outputs backed by credible sources, conduct thorough web research to verify information and collect supporting evidence, collaborate with LLMs and internal tools as copilots to complete complex tasks, design and refine prompts to guide AI toward higher-quality results, apply best practices for working with LLMs understanding their strengths and limitations, and adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines.
Freelance AI Assistant Expert
As an AI Agent Assistant, you collaborate with large language models (LLMs) that handle repetitive tasks, bringing nuance, judgment, and creativity to deliver high-quality results. Your responsibilities include working alongside AI to shape and complete outputs to ensure accuracy, reliability, and readiness for real-world application. Typical tasks may include fact-checking scientific claims, curating datasets, conducting market research, and refining sales leads. You deliver well-reasoned, accurate, and clearly written outputs backed by credible sources, conduct thorough web research to verify information and collect supporting evidence, collaborate with LLMs and internal tools using them as copilots to complete complex tasks, design and refine prompts to guide AI toward higher-quality results, apply best practices for working with LLMs while understanding their strengths and limitations, and adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines.
Mechanical Engineer & Python Expert - 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.
Electrical Engineer & Python Expert - Freelance AI Trainer
Design rigorous electrical engineering problems reflecting professional practice. Evaluate AI solutions for correctness, assumptions, and constraints. Validate calculations or simulations using Python (NumPy, Pandas, SciPy). Improve AI reasoning to align with industry-standard logic. Apply structured scoring criteria to multi-step problems.
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