Physics Subject Matter Expert
Há 2 dias
Job Title:
Physics Subject Matter Expert – AI Training & Content Development
About Innodata:
Innodata (NASDAQ: INOD) is a
global leader in data engineering and AI-powered solutions , working with
4 of the top 5 global technology companies
and over
2,000 enterprise clients worldwide . Operating in
13 global locations
with a workforce of
5,000+ subject matter experts , Innodata leads innovation in
machine learning (ML), natural language processing (NLP), and large language model (LLM) training.
By combining
cutting-edge AI technology, deep domain expertise, and secure infrastructure , Innodata delivers transformative solutions that power the next generation of intelligent systems.
About the Role:
We are seeking a
Physics Subject Matter Expert (SME)
with exceptional analytical, problem-solving, and writing skills to join our
AI/LLM training team .
You will play a crucial role in
developing, curating, and evaluating advanced physics content
to enhance AI models’ reasoning, accuracy, and ability to explain complex physics concepts.
This role is ideal for
physicists, researchers, and academics
passionate about science communication and AI innovation.
Key Responsibilities:
Content Development:
Create
high-quality physics datasets , including:
Conceptual explanations of physics principles (classical, quantum, and modern physics).
Problem sets and numerical solutions.
Detailed derivations of equations and laws.
Technical summaries and scientific research briefs.
Build
domain-specific datasets
across physics subfields such as:
Mechanics, Thermodynamics, and Electromagnetism
Quantum Mechanics, Particle Physics, and Nuclear Physics
Astrophysics, Relativity, and Cosmology
Materials Science and Condensed Matter Physics
Computational Physics and Applied Physics
Model Evaluation & AI Training:
Evaluate LLM-generated physics content for
accuracy, clarity, rigor, and logical reasoning.
Detect and correct
conceptual gaps, numerical errors, and inconsistencies
in AI outputs.
Help define
data quality standards and evaluation rubrics
for scientific reasoning.
Collaboration & R&D:
Work closely with
AI engineers, computational linguists, and data scientists
to improve AI reasoning.
Provide
domain expertise
for designing AI benchmarks and test scenarios.
Contribute to research on
physics education, simulation modeling, and AI-assisted scientific research.
Eligibility Criteria:
Master’s or PhD
in
Physics, Applied Physics, Engineering Physics, or a related discipline
(PhD preferred).
Strong foundation in
theoretical and applied physics .
Demonstrated expertise in one or more areas:
Computational modeling, simulations, or numerical methods.
Advanced topics (e.G., quantum field theory, condensed matter, astrophysics).
Proven experience in
academic publishing, science communication, or curriculum design .
Strong technical writing skills and ability to explain
complex concepts clearly .
Preferred Skills:
Familiarity with
AI/ML models, data annotation, and prompt engineering
(bonus).
Experience in
LaTeX, Python, or scientific computing tools .
Knowledge of
AI fairness and bias detection
in STEM datasets.
Why Join Innodata?
Shape the future of AI by embedding
physics expertise
into large-scale models.
Collaborate with
top-tier researchers and engineers
globally.
Influence
next-gen AI capabilities
in scientific reasoning.
Work remotely with
flexibility and innovation-driven teams .
Additional Information:
Candidates must complete an
English Language Assessment .
Mandatory and non-billable step.
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