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Biology AI Training Expert (Germany)

Job Overview

Location

Germany

Job Type

Contract

Category

Software Engineering

Date Posted

April 1, 2026

Full Job Description

đź“‹ Description

  • • Biology AI Training Expert role at Anyone AI Inc. focuses on creating high-quality, deterministic STEM training data to improve frontier AI models' reasoning in scientific domains, directly contributing to advancements in AI-driven biological discovery and problem-solving capabilities.
  • • The role is critical for ensuring AI systems can handle complex, real-world biological reasoning tasks with verifiable accuracy, supporting the development of more reliable and scientifically grounded AI tools used by leading research institutions.
  • • Design advanced biology problems that challenge frontier AI systems by crafting original, multi-step challenges rooted in authentic scientific workflows across molecular biology, genetics, systems biology, computational biology, or bioinformatics.
  • • Create deterministic tasks with exactly one verifiable correct answer, ensuring each problem is grounded in real biological practice and solvable through logical, reproducible reasoning.
  • • Submit complete, verified solutions for every problem, including detailed explanations and validation steps to guarantee correctness and clarity for AI training purposes.
  • • Build problems involving experimental reasoning, biological systems modeling, computational analysis, or bioinformatics workflows, integrating domain-specific knowledge to reflect actual research or industry practices.
  • • Use Python and, when relevant, specialized biology or bioinformatics tools (e.g., Biopython, pandas, BLAST, or structural biology software) to implement, test, and verify problem solutions.
  • • Ensure high standards of rigor, reproducibility, and technical clarity in all deliverables, adhering to scientific best practices for documentation and problem design.
  • • Collaborate remotely with a global team of domain experts and AI researchers to maintain consistency in problem quality and alignment with training objectives.
  • • Contribute to iterative feedback loops with AI training pipelines, helping refine model performance through expert-designed challenge sets.
  • • Maintain strict attention to detail and scientific accuracy in all written outputs, ensuring problems are unambiguous, technically sound, and suitable for advanced AI evaluation.
  • • Engage in continuous learning by working at the intersection of biology and AI, gaining insight into how frontier models process and reason about complex scientific data.
  • • Develop expertise in AI training data design, learning how to construct effective benchmarks that probe model limitations and drive improvements in scientific reasoning.

🎯 Requirements

  • • Bachelor’s, Master’s, or PhD in Biology or a closely related life sciences field
  • • Demonstrated research or industry experience involving computational or quantitative biological analysis
  • • Strong proficiency in Python, with preference for experience in data analysis or bioinformatics workflows

🏖️ Benefits

  • • Fully remote work arrangement allowing flexibility to contribute from anywhere in Germany
  • • Competitive hourly compensation of up to 40 USD per hour for specialized expertise
  • • Contract/part-time structure with 20 hours per week, enabling work-life balance and side-project flexibility
  • • Immediate start availability with a 2-month project duration and potential for extension based on performance and needs
  • • Opportunity to directly influence the training of frontier AI models in the biological sciences, contributing to cutting-edge AI research
  • • Exposure to interdisciplinary work at the forefront of AI and quantitative biology, enhancing skills in both domains

Skills & Technologies

Python
Remote
Degree Required

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Anyone AI Inc.
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About Anyone AI Inc.

Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.

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