PhDs in Physics, Chemistry, Biology, or Computer Science

Innodata Inc.; Nice; À distance; EUR 59 000 - 86 000; Plein temps

Résumé du poste

A leading technology firm is seeking a Scientific Expert with a PhD in Physics, Chemistry, Biology, or Computer Science. The role involves supporting AI training and model evaluation initiatives. Candidates should have strong analytical and writing skills, with a passion for applying scientific knowledge. This remote position also requires completion of assessments to proceed in the evaluation process.

Qualifications

• PhD in a relevant scientific field is required.
• Strong analytical skills and ability to apply theoretical knowledge.
• Familiarity with scientific writing standards and peer-reviewed publishing.

Responsabilités

• Create and review high-quality scientific content for AI training.
• Analyze AI behavior related to domain-specific tasks.
• Collaborate with internal teams to ensure accuracy across projects.

Connaissances

Analytical skills

Attention to detail

Excellent writing skills

Strong communication skills

Critical thinking

Formation

PhD in Physics, Chemistry, Biology, Computer Science

Outils

Programming

Description du poste

Overview

Job Title: Scientific Expert – PhD in Physics, Chemistry, Biology, Computer Science

Location: Remote

About Innodata

Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more.

With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML / AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence.

About the Role

We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.

You will contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines, by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.

Key Responsibilities

• Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems.
• Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
• Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.
• Support the development of guidelines for scientific content generation and annotation.
• Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
• Conduct domain-specific research and synthesize findings to guide model improvements.
• Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content.

Qualifications

• PhD in Physics, Chemistry, Biology, Computer Science, or a closely related scientific discipline.
• Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
• Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
• Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.
• Excellent writing, editing, and communication skills.
• (Preferred) Experience with AI / ML concepts, data annotation, programming, or computational modeling.

Nice to Have

• Experience working with large datasets or scientific databases.
• Knowledge of machine learning pipelines, NLP, or LLMs.
• Previous experience in interdisciplinary research or technical consulting.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

• Assessment Test — Evaluates your linguistic and analytical skills
• Versant English Proficiency Test — Focuses on assessing your spoken and written English proficiency (C1 or C2 level required)

Once both assessments are successfully completed, you will be eligible for onboarding.

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform, XConnect. Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform.

If interested, kindly share your resume at: [e-mail]