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A leading AI research company is seeking analytical candidates for a remote role that involves summarizing and validating complex content while collaborating with Large Language Models (LLMs). Candidates should be multilingual in English and Portuguese, possess strong research skills, and be capable of working independently. This role offers flexible hours, an opportunity to work on cutting-edge AI projects, and competitive compensation based on expertise.
We’re seeking detail-oriented candidates with strong analytical and English comprehension skills. You’ll read, summarize, and analyze complex content, validate claims through online research, and collaborate with Large Language Models (LLMs) to improve their performance.
Your work will directly contribute to refining cutting‑edge AI systems (like Gemini) — no prior AI experience required — a great opportunity to build expertise in the growing field of AI.
You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn.
You will be assisting with screening and training the others need to be Google account users (uses some combination of Gmail, YouTube, Gemini, Search, Photos) willing to use their personal accounts for this eval (can redact any personal information they are not willing to share).
Commitments Required: Availability of up to 40 hours per week is preferred.
Engagement type: Contractor assignment / freelancer (no medical / paid leave).
Duration of contract: 2 Weeks initial pilot, could extend.
This role will require some overlap with UTC‑8 : 00 (2‑5 hrs / day) America / Los Angeles.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high‑quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, drive lasting results on the P&L.
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