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Invisible Technologies

AI-assisted BPO and task outsourcing

Data Science Specialist - AI Trainer Project

Natural Language Processing & LLMsConfirmed live in the last 24 hours
ContractRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience with machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development
  • Ability to work with large language models and evaluate model outputs
  • Strong problem-solving skills and ability to capture reproducible error traces

Responsibilities

  • Converse with the model on project scenarios and theoretical data science questions
  • Verify factual accuracy and logical soundness of model outputs
  • Capture reproducible error traces
  • Suggest improvements to prompt engineering and evaluation metrics
  • Document failure modes to harden model reasoning

Desired Qualifications

  • Master’s or PhD in data science, computer science, statistics, or closely related field
  • Peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions
  • Clear, metacognitive communication—“showing your work”—is essential

About the Company

Invisible Technologies

AI-assisted BPO and task outsourcing

Invisible Technologies combines artificial intelligence with a global workforce to automate repetitive digital work through a subscription-based BPO platform. Clients receive a dedicated assistant; tasks are handled by AI with routing to human agents as needed, and a transparent portal lets them track progress, usage, plan, and billing. It differentiates itself from traditional outsourcing and large automation providers by offering a high-touch, long-term, predictable service with a single dedicated team and visible operations. Its goal is to streamline operations, boost efficiency, and cut costs for clients by delivering digital work faster with clear visibility and scalable, ongoing partnerships.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$107.9M
Headquarters
New York City, New York
Founded
2015

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