Large Language Model Fine‑Tuner (Remote)

Turing’s interview process typically starts with an online aptitude test, followed by a technical interview focused on LLM prompt‑engineering and scenario creation. The final HR round assesses cultural fit and remote‑work readiness. Candidates who practice logical reasoning, data interpretation, and basic prompt‑design tend to perform well.

Turing promotes a fully remote, results‑driven culture where engineers and analysts enjoy flexibility and autonomy. The company invests heavily in continuous learning, offering internal AI workshops and mentorship that accelerate career growth while maintaining a healthy work‑life balance.

• Minimum: Bachelor’s degree in Engineering, Literature, Journalism, Communications, Arts, Statistics or related field (B.Tech/B.E., B.A., B.Sc., etc.). • Preferred: 60%+ academic score (or CGPA 6.5/10) with no active backlogs. • Batch: Open to 2025, 2026, 2027 graduates and recent pass‑outs. • Strong English reading and writing proficiency. • Ability to work independently in a remote environment. • Reliable desktop/laptop and high‑speed internet connection.

Round 1: Online assessment – aptitude, logical reasoning and basic data interpretation. Round 2: Technical interview – LLM prompt‑engineering case study and scenario‑building exercise. Round 3: HR interview – cultural fit, motivation and remote‑work suitability.

Turing is one of the world’s fastest‑growing artificial‑intelligence companies, dedicated to accelerating the development and deployment of powerful AI systems. By partnering with leading AI research labs, Turing pushes the frontier of large‑scale models in reasoning, coding, multimodality, multilinguality, and domain‑specific knowledge. The innovations created at Turing are then transformed into real‑world solutions that address mission‑critical challenges for enterprises across the globe. The company’s culture is built around remote‑first col laboration, continuous learning, and a relentless focus on impact. In the role of Large Language Model Fine‑Tuner, you will work on projects that improve the performance of cutting‑edge LLMs such as ChatGPT. Your day‑to‑day work will involve reading, summarising, and breaking down large pieces of content into logical blocks, conducting online research to verify claims, and crafting detailed annotations that help the model learn. You will also design puzzle‑style scenarios that expose model weaknesses and provide clear, step‑by‑step explanations of the correct answers. This position is ideal for candidates who enjoy analytical problem‑solving, have strong English comprehension, and want to future‑proof their career in an AI‑first world. Key responsibilities include: 1. Analyse diverse analytical questions and produce concise, accurate answers. 2. Create training scenarios that highlight model errors and guide corrective learning. 3. Break down complex documents into smaller, logically coherent sections for model ingestion. 4. Conduct web‑based research to validate factual statements and cite reliable sources. 5. Provide detailed feedback and annotations on model outputs. 6. Collaborate remotely with AI researchers and product teams to refine prompt strategies. 7. Track performance metrics of model improvements and report findings. 8. Maintain a disciplined technical setup with a reliable laptop/desktop and high‑speed internet. 9. Participate in regular knowledge‑sharing sessions to stay updated on LLM advancements. 10. Contribute creative, lateral‑thinking ideas to enhance the overall training pipeline. Tech Stack: Python, Prompt‑Engineering tools (e.g., OpenAI API), Google Suite, Excel, basic data‑visualisation libraries. Growth Path: Junior Analyst → Analyst → Senior Analyst → Team Lead → AI Training Manager. Why Join Turing: Work entirely remotely with a globally recognised AI leader, gain hands‑on experience fine‑tuning state‑of‑the‑art language models, and build a skill set that will remain in demand as AI becomes ubiquitous across industries.