# Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d) at AlephAlpha > Hybrid · Germany · Senior · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3AAlephAlpha%3Afce0b58f-e95a-45bc-9ca5-b47b1c3cbabd (read 2026-11-08). ## Facts (observed) - Company: [AlephAlpha](https://alderhq.app/companies/alephalpha) - Location text: Heidelberg; Berlin - Where it can be done from (inferred): Hybrid · Germany (evidence: "Location: Heidelberg; Berlin") - Posted: 2026-10-14 (25 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/AlephAlpha/fce0b58f-e95a-45bc-9ca5-b47b1c3cbabd - Skills listed (inferred): Node.js, Python, PyTorch, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Germany, n 7): p25 €77k, median €108k, p75 €155k ## Description (the employer's text) ### 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 Mental health support through 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® Bike Lease --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AAlephAlpha%3Afce0b58f-e95a-45bc-9ca5-b47b1c3cbabd and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.