Key Facts

Remote From:

Part time

Mid-level (2-5 years)

English

Hard Skills

Prompt Engineering Large Language Modeling SQL (Programming Language) Performance Analysis Error Detection And Correction AI Testing Computational Linguistics Software Engineering Semantic Technology

Other Skills

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Logical Reasoning
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Communication
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Mental Agility

Roles & Responsibilities

Native fluency in English
Bachelor's, Master's, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction, Cognitive Science, or a related analytical field
At least 2 years' experience as Prompt Engineer
Strong proficiency in identifying error patterns and analyzing model performance

Requirements:

Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters
Run and supervise Automated Prompt Optimization (APO) tool, review outputs, and flag issues
Manually draft, test, and refine prompts to handle complex template architectures and edge cases
Monitor shadowbot runs to track disagreements between human and LLM ratings

Welo Global

About Welo Global

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization solutions for localization and technology teams), Adapt (multilingual performance-led digital marketing agency), Park IP (patent translation, foreign filing, and legal solutions for law firms and corporate legal teams), Welo Life Sciences (multilingual content solutions for drug and medical device development for pharmaceutical, clinical contract research, and medical device organizations), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com

Founded: 2018

Company size: 1001 - 5000

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Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.

Responsibilities:

Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.

Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.

Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.

Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.

Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.

Draft technical launch readiness justifications (Launch Certification Documentation) for final.

Requirement:

Language Skills: Native fluency in English.

Location: Must be based in United States.

Education: Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.

Prompt Engineering & AI Expertise: At least 2 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.

Data Analysis: Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.

Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.

Communication: Excellent verbal and written communication skills.

Optional / Preferred Skills: 

Familiarity with enterprise-grade LLM interfaces like the Goose API.

Experience in AI model evaluation, data science, computational linguistics, or software engineering.

Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.

Linguistic expertise, including an understanding of semantics and logic.

Federal Law Compliance 

In compliance with federal law, all persons hired will be required to: 

- Verify identity and eligibility to work in the United States; and 

- Complete a required employment eligibility verification form.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

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