Prompt Engg. /LLM Research Content Writer (Ph.D. Preferred in STEM/Finance)
Location: Mountain View
Posted on: June 23, 2025
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Job Description:
Duration: 6 months contract (3 days onsite every week) Job
Description: The Content Writer / Deep Research - Technical Writer
will support LLM (Large Language Model) research evaluation by
assessing and improving AI-generated research outputs. This role
requires a strong foundation in research methodology, subject
matter expertise in domains like finance, math, and science, and
technical writing skills. The candidate will analyze LLM outputs
for accuracy, depth, and logical coherence, and collaborate with
cross-functional teams to enhance LLM performance.
Responsibilities: Evaluate LLM outputs for research quality, source
credibility, logical consistency, and content accuracy. Design and
run prompt engineering tests to probe LLM capabilities across
various research scenarios. Identify and report biases,
hallucinations, and factual inaccuracies in AI-generated content.
Synthesize information from multiple sources to assess the LLM’s
synthesis capabilities. Prepare high-quality content samples or
refinement prompts for LLM fine-tuning. Collaborate with technical
teams by providing clear, structured feedback on LLM behavior and
research performance. Assist in data curation, cleaning, and
annotation to support training datasets. Maintain accuracy and
timeliness of data feeds and quarterly reporting workflows.
Experience: Demonstrated experience in technical writing, academic
research, or content creation in complex domains (e.g., finance,
mathematics, science). Experience evaluating or working with LLMs,
AI tools, or machine learning platforms is highly desirable. Proven
ability to analyze logical reasoning, argument structure, and
factual accuracy in written content. Experience working with data
pipelines, user research, and feedback synthesis. Previous work in
fast-paced, cross-functional environments involving engineering or
product teams. Skills: Research & Analytical: Strong foundation in
qualitative/quantitative research, source evaluation,
fact-checking, and synthesis. Writing & Editing: Exceptional
command of grammar, clarity, tone, and content structure. Able to
write and assess complex research outputs. Technical: Prompt
engineering and LLM output analysis. Familiarity with AI platforms
and tools, APIs, and data handling techniques. Experience in data
curation/annotation workflows. Critical Thinking: Pattern
recognition, bias detection, logical assessment, and
problem-solving. Collaboration & Communication: Ability to provide
actionable feedback and work with interdisciplinary teams.
Organization: Skilled in balancing multiple priorities and managing
content projects efficiently. Education: Ph.D. or Master’s in
Political Science, Linguistics, Creative Writing, Content Writing,
English, Arts, or related disciplines About US Tech Solutions: US
Tech Solutions is a global staff augmentation firm providing a wide
range of talent on-demand and total workforce solutions. To know
more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified
applicants will receive consideration for employment without regard
to race, colour, religion, sex, sexual orientation, gender
identity, national origin, disability, or status as a protected
veteran.
Keywords: , San Bruno , Prompt Engg. /LLM Research Content Writer (Ph.D. Preferred in STEM/Finance), IT / Software / Systems , Mountain View, California
