Senior LLM fine-tuning talent and rates in Coaches & Consultants
Senior LLM fine-tuning engineers serving coaches & consultants run roughly $165–$240/hr. Stack realities for this combination: Calendly + Stripe + ConvertKit + Kajabi/Teachable — common integrations: Calendly + Acuity + ScheduleOnce, Stripe + PayPal + Square, ConvertKit + Kit + Beehiiv. AI-coach companion grounded on coach IP; session-summary generation
What LLM fine-tuning actually requires in 2026
2026 fine-tuning: OpenAI fine-tuning API for managed (GPT-4o-mini base), Hugging Face TRL + PEFT for LoRA/QLoRA, Axolotl or Unsloth for production-grade Llama/Mistral/Qwen tuning. Datasets curated in Argilla or LabelBox; evals in Weights & Biases or MLflow. Fine-tuning is one of the most over-promised AI services. A senior engineer will tell you 70% of the time, prompt engineering + RAG beats fine-tuning at 5% the cost. The remaining 30% — style transfer, schema-rigid outputs, domain-specific terminology — is where fine-tuning earns its premium.