Source-listed Job

Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)

Who we are

Job Remote Source description available
Aleph Alpha Careers Berlin, Heidelberg, Berlin Source published Oct 14, 2026 Source retrieved Oct 14, 2026
Source: Aleph Alpha Careers · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull-time
Work modeRemote / location-flexible

Overview

Who we are

Full job description

Who we are Aleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes. ABOUT THE ROLE We are looking for a (Senior) AI Researcher to join our hallucination reduction capability team to push the boundaries in LLM post-training (SFT and RL). We're one of the few places in Europe training foundation models from scratch. You will be part of a team of (senior) researchers and PhD interns doing cutting-edge research across pre-, mid- and post-training, grounding and specialized models with hundreds of GPUs at our disposal. WHAT WILL YOU DO

  • Core Research & Development: Design, execute, and scale post-training methodologies (SFT, RL) specifically aimed at eliminating model hallucinations and making them grounded in evidence.
  • Uncertainty & Reliability: Research and implement techniques in uncertainty estimation, calibration, self-consistency, and self-correction mechanisms to enable models to identify and signal when they “don't know”.
  • Post-Training Pipelines: Build and optimize high-throughput, distributed fine-tuning and training pipelines across multi-node GPU clusters.
  • Evaluation & Benchmarking: Design and implement rigorous evaluation methods to benchmark hallucination rates, truthfulness, and reasoning accuracy.
  • Technical Ownership: Drive research projects independently from initial hypothesis to scalable production implementation and technical reports. QUALIFICATIONS
  • Hands-on experience fine-tuning or post-training LLMs using modern distributed training frameworks.
  • Track record of research or implementation in at least one of the following domains:
  • Hallucination mitigation / truthfulness alignment / grounding in RAG
  • Uncertainty estimation, or out-of-distribution detection
  • Retrieval-Augmented Generation evaluation / alignment, refusal behavior calibration, or claim verification
  • Strong programming skills (Python & PyTorch). COMPENSATION AND BENEFITS
  • Become part of an AI revolution!
  • 30 days of paid vacation
  • Access to a variety of fitness & wellness offerings via Wellhub https://wellhub.com/de-de/
  • Mental health support through nilo.health http://nilo.health
  • Substantially subsidized company pension plan for your future security
  • Subsidized Germany-wide transportation ticket
  • Budget for additional technical equipment
  • Flexible working hours for better work-life balance and hybrid working model
  • JobRad® https://www.jobrad.org/ Bike Lease

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