Freelance Electrical Engineer with Python Experience - 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.
Freelance Electrical Engineering & Python Expert - AI Trainer
Contributors may 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, and apply structured scoring criteria to multi-step problems.
Freelance Electrical Engineering & Python Expert - AI Trainer
Contributors may 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, and apply structured scoring criteria to multi-step problems.
Evaluation Scenario Writer - AI Agent Testing Specialist
Contributors may 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.
Forward Deployed Engineer (FDE), Life Sciences - Paris
The Forward Deployed Engineer (FDE) is responsible for designing and shipping production systems around models, including owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows. They lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and execution plans with measurable endpoints. They define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, and outcome metrics, driving delivery until sustained production impact is demonstrated. The role involves building in sensitive scientific data environments shaped by auditability, validation, and access controls, and running evaluation loops to measure model and system quality against workflow-specific scientific benchmarks, using results to drive model and product changes. The engineer distills deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.
Forward Deployed Engineer
As a Forward Deployed Engineer at Dust, your responsibilities include writing production-quality code to build custom integrations, APIs, and tooling for enterprise customers where off-the-shelf solutions are insufficient. You will contribute features and improvements directly to the Dust platform based on customer requirements and field insights. You act as a key cross-functional partner by collaborating with Sales to help onboard customers and with Customer Success to ensure users maximize the value of Dust. You help set the product roadmap by surfacing feedback and insights from customers, partnering with Design and Engineering. You lead demo calls, communicate Dust's value proposition to buyers and evaluators, and act as a trusted advisor to strategic customers by helping set up their Dust workspace, data connections, AI assistants, and workflows. You identify and highlight successful use cases and craft content to help users maximize Dust's value. Additionally, you lead workshops and training sessions to demonstrate advanced features and facilitate customer access to advanced use-cases through Dust's Developer platform and API.
Freelance Machine Learning AI Trainer (Python)
Design original computational STEM problems simulating real scientific workflows. Create problems requiring Python programming to solve that are computationally intensive and cannot be solved manually within reasonable timeframes. Develop problems that require non-trivial reasoning chains and creative problem-solving approaches. Verify solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn. Document problem statements clearly and provide verified correct answers. Collaborate on AI projects aligned with the candidate's skills on their own schedule, contributing from creating training prompts to refining model responses.
Freelance Machine Learning Engineer (Python)
Design original computational STEM problems that simulate real scientific workflows. Create problems that require Python programming to solve. Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches. Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn). Document problem statements clearly and provide verified correct answers.
Safety Engineer
The AI Safety Engineer is responsible for designing and building scalable backend infrastructure for content moderation, abuse detection, and agents guardrails by deploying AI/ML models into production systems. They will architect robust APIs, data pipelines, and service architectures to support real-time and batch moderation workflows. The role includes implementing comprehensive monitoring, alerting, and observability systems, establishing SLIs, SLOs, and performance benchmarks. The engineer will collaborate with ML engineers to translate research models into production-ready systems and integrate them across the product suite. Additionally, they will drive technical decisions and contribute to the vision for the safety roadmap to build next-generation platform guardrails for scale and precision.
Software Engineer - Embedded NixOS
You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios, work on impactful projects, and collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in production systems.
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