PhDs in Physics, Chemistry, Biology, or Computer Science

Innodata Inc.; Marseille; À distance; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A data engineering company is looking for experienced scientific experts for a remote role focusing on AI training and model evaluation. Candidates with a PhD in Physics, Chemistry, Biology, or Computer Science and strong analytical skills are encouraged to apply. The position involves creating high-quality datasets for AI systems and collaborating with technical teams to enhance model accuracy. Ideal for those passionate about research and AI innovations.

Qualifications

• PhD in a relevant scientific discipline is essential.
• Strong analytical skills necessary for AI system evaluation.
• Familiarity with scientific writing and research methodology is preferred.

Responsabilités

• Create and review scientific content for AI training.
• Analyze AI model outputs for accuracy and clarity.
• Collaborate with engineering and data teams for project accuracy.

Connaissances

Analytical skills

Attention to detail

Writing and communication skills

Experience with AI / ML concepts

Formation

PhD in Physics, Chemistry, Biology, Computer Science

Description du poste

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.

Please complete the Assessment Test :

https : / / icap.innodata.com / registerfreelancer?enc=oUTZVsr / Pnz / 0Xygc2EK32MdtinqnjC9vy8RU3Ha4EOAPwT2LJJQDD68MkY6jszYhhsYYecqmKWja8eKXV801gezikielezikiel

Number of Questions : 36

Test Duration : 90 minutes

Total Marks : 100