Remote position
Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)
at Alephalpha
New matches by email
One mail a day when new listings match – no account, unsubscribe in one click.
About this role
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.
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.
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.
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).
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
Find Jobs in Germany on Arbeitnow
Real Remote Score 44/100 · see the full breakdown
Real Remote Score
44/100
Mixed
- Comp
- 0/25
- Location
- 4/25
- Source
- 5/15
- Clarity
- 15/15
- Freshness
- 20/20
Why this score? ▾
- Compensation · No salary disclosed 0/25
- Location · Specific city or narrow scope 4/25
- Source · Generic aggregator 5/15
- Role clarity · Seniority + stack/role both clear 15/15
- Freshness · Posted 2 days ago: within last week 20/20
How the Real Remote Score is calculated → · Score appeals & corrections
Hybrid Transparency Score 15/100 · see the full breakdown
Hybrid Transparency Score
15/100
Weak
- Days
- 0/30
- Location
- 15/30
- Schedule
- 0/15
- Relocation
- 0/15
- Source
- 0/10
This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →
Posted via Arbeitnow. Applications are handled by Alephalpha. RemNavi earns no commission.
Apply on Alephalpha →