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Selected role

Prompt Engineer Data Analyst

ExecutivePlacements.com San Francisco, CA

Senior Full-time

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Job Responsibilities
Welo Data is seeking a creative and analytical Prompt Engineer & Data Analyst

to join our team.

In this role, you will be instrumental in refining and evaluating large language models (LLMs).

You'll design prompts, create high-quality datasets, and perform rigorous analysis to directly

improve the functionality, accuracy, and safety of cutting-edge AI systems. Your expertise will

help us build smarter, more reliable, and more helpful technology.

Key Responsibilities
Prompt Engineering & Model Evaluation

Design, test, and iteratively refine complex and creative prompts to enhance AI model
capabilities in reasoning, instruction following, and contextual understanding.
Conduct rigorous side-by-side (SxS) comparisons of AI-generated outputs, providing
detailed rationales and quality ratings to identify the superior response.
Develop "golden" datasets, ideal responses, and granular evaluation rubrics to
serve as benchmarks for model training and performance analysis.
Engineer adversarial prompts and red-team scenarios to systematically identify
model vulnerabilities, biases, and safety gaps across various policies (e.g., Harassment,
Hate Speech, Dangerous Content).

Data Curation & Analysis

Create, annotate, and review diverse datasets across text, audio, and video formats to
support model training and localization.
Perform in-depth fact-checking and analysis to ensure model responses are accurate,
relevant, and grounded in reliable sources.
Establish and document style guides, content standards, and evaluation procedures
to ensure consistency and quality across all projects.
Analyze model outputs to identify trends, document error patterns, and categorize
failures, providing actionable feedback to engineering teams.

Collaboration & Training

Train, mentor, and guide other team members on prompt engineering best practices,
evaluation methodologies, and quality standards.
Collaborate with engineering and product teams to translate evaluation insights into
actionable model improvements.

Multimodal AI Training

For voice projects, script and perform dialogues portraying various personas (e.g.,
customer, agent) and accents to generate realistic conversational data for AI voice
agents.
For video projects, author precise text prompts using professional video production
terminology (e.g., shot angles, camera movements, lighting) to guide generative video
models.

Qualifications
Additional Job Details:

Bachelor's degree or equivalent experience in Linguistics, Computational Linguistics,
Communications, Technical Writing, or a related analytical field.
Native or near-native fluency in English with exceptional writing and editorial skills.
Proven experience in a role involving AI data annotation, content quality review, search
quality rating, or prompt engineering.
A highly detail-oriented and analytical mindset, with the ability to deconstruct complex
instructions and evaluate outputs with precision.
Ability to interpret code, datasets, and system workflows at a conceptual level (no
coding required).
Ability to work independently and manage workflows effectively in a remote environment.

Nice to Have

Multilingual proficiency in one or more languages in addition to English.
Direct experience with generative AI tools for text, voice, or video.
Background in QA testing, rubric design, or AI safety and ethics evaluation.
Familiarity with data annotation platforms and model evaluation tools.

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