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Project Lion - Lead Prompt Engineer - United States (Remote, Part-Time)

1 month, 4 weeks ago
United States
Freelance
Lead
AI Engineer
Data Science and Analytics
LLM SQL
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Welo Global

Welo Global

Welo Global specializes in providing enterprise localization, AI training data, and multilingual content solutions, leveraging a portfolio of specialized global brands to meet diverse customer needs in the AI and language services industry.

Professional Services
Founded 1997
View All Jobs 471

Description

  • Lead and manage the technical migration from templates to LLM autoraters.
  • Use Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
  • Run and supervise Automated Prompt Optimization (APO) workflows and identify deadlocks or plateaus in output.
  • Manually draft, test, and refine prompts for complex architectures, anti-patterns, and tooling gaps.
  • Solve edge cases by designing and iterating on manual prompt solutions.
  • Monitor shadowbot runs to ensure disagreements between human and LLM ratings are generated and tracked.
  • Run prompt versions against gold data to measure autorater quality against the human crowd baseline.
  • Calculate evaluation metrics such as F1 score, precision, and recall.
  • Draft technical launch readiness and certification documentation for final release.
  • Mentor junior engineers and help shape prompt strategy for AI system improvement.

Requirements

  • Must be based in the United States.
  • Native fluency in English.
  • Master’s or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
  • At least 7 years of experience as a Prompt Engineer.
  • Proven experience tuning large language models (LLMs) for strict, structured outputs and complex classification tasks.
  • Familiarity with chain-of-thought and few-shot learning approaches.
  • Strong proficiency in identifying error patterns and analyzing model performance.
  • Experience using SQL or other data analytics tools.
  • Ability to quickly learn and master proprietary tools with minimal supervision.
  • Excellent verbal and written communication skills.
  • Familiarity with enterprise-grade LLM interfaces like the Goose API (preferred).
  • Experience in AI model evaluation, data science, computational linguistics, or software engineering (preferred).
  • Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows (preferred).
  • Linguistic expertise, including an understanding of semantics and logic (preferred).

Interested in this position?

Apply directly on the company website

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