Crossing Hurdles
Senior LLM Research Scientist | Remote
United Kingdom
$100 – $120/hr
Posted about 19 hours ago
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LLM Research Scientist Remote | Hourly Contract | $100-$120/hr | Flexible / Project-Based
Quick Snapshot
- Lead empirical research on transformer-based language models across the full training lifecycle, from pre-training to post-training alignment
- Work on well-scoped, open-ended research problems with meaningful impact on frontier model development
- Collaborate directly with leading researchers on challenging, high-stakes foundation model projects
- Competitive hourly rate of $100-$120, paid weekly via Stripe or Wise as an independent contractor
- Fully flexible schedule: work on your own time, with projects that can scale up or down based on performance and scope
- Engaged as an independent contractor; no access to confidential third-party information required
- Ongoing pipeline of research projects across pre-training, data curation, and post-training domains
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Requirements
- Train transformer-based language models from scratch and fine-tune open-weight models across data- and compute-constrained regimes, including fixed-budget allocation across model size, tokens, and epochs
- Construct and curate pre-training corpora from raw web crawls including filtering, deduplication, quality classification, and mixture optimization with rigorous measurement of data interventions
- Build post-training pipelines using supervised fine-tuning, synthetic dataset construction, rejection sampling, or preference optimization methods (DPO, RLHF, RLAIF)
- Diagnose and resolve training instabilities, optimization failures, and convergence issues in large-scale model runs
- Apply alignment fine-tuning techniques to shape refusal behavior, truthfulness, and reasoning quality without degrading general capability
- Demonstrated research track record via a degree from a top-100 university, experience at a leading AI lab or major tech company, or impactful publications or open-source contributions
- Proficiency in PyTorch, JAX, TensorFlow, or comparable ML frameworks; experience with scaling laws, curriculum learning, LLM evaluation, or RL for language models is a plus
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Application Process
- Submit the application form with the required information.
- Applications will be evaluated based on the requirements of the opportunity.
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- Use the instructions in the email to complete the remaining application steps.
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Skills
Transformer-Based Language Models
Data Curation
Supervised Fine-Tuning
Synthetic Dataset Construction
Rejection Sampling
Preference Optimization
Alignment Fine-Tuning
PyTorch
JAX
TensorFlow
Scaling Laws
Curriculum Learning
LLM Evaluation
RL for Language Models
Location