Analytical Chemistry Specialist - Freelance AI Trainer

Jobgether

Netherlands

1,280 – 10,400 / month

From 65 / hour

Freelance

Full-time

Remote

Expert

Starts as soon as possible

posted 3 days ago

Vacancy Summary

Join our partner company as a Freelance AI Trainer, leveraging your analytical chemistry expertise to enhance AI models for scientific discovery. This remote role allows you to evaluate AI-generated content and contribute to the development of reliable scientific knowledge.

Required skills

Discovery

Quality Assurance

Quality Control

Technical Expertise

Procedures

Technical Writing

communication

Titrimetry

Validation

Methodologies

Insurance

Chemistry

Instrumentation

Content

data privacy

HPLC

Artificial Intelligence (AI)

Matching

Feedback

Gas Chromatography

Liquid Chromatography

GC(MS/MS)

Scientific Evaluation

Compensation

AI systems

General Data Protection Regulation (GDPR)

NMR

Data Interpretation

Education

Technology

Support

AI Evaluation

Chemical Analysis

Method Development

Laboratory Workflows

Flexibility

Access

GC(MS)

Accuracy

Fitting

Science

Health

Laboratory Experience

Trustworthy AI

Product Quality (QA/QC)

Interviews

Performance

Processing

Reliability

AI Models

Analytical Skills

TRACE

Environmental Testing

Benefits

engagement

Scientific Reasoning

Spectrometry

Attention

Advanced Analytical Techniques

Discipline

AI Training

(Gen)AI

Laboratory Research

Time

English level

Fluent

Languages

English

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is seeking an Analytical Chemistry Specialist for a Freelance AI Trainer project based in the Netherlands. Are you an expert in analytical chemistry interested in shaping the future of artificial intelligence? This freelance opportunity enables you to apply your scientific knowledge to train and assess advanced AI models aimed at supporting scientific discovery, education, and laboratory research. You will evaluate AI-generated responses to complex analytical chemistry questions, identify inaccuracies, and enhance scientific reasoning across various applications. Your contributions will improve the accuracy, reliability, and relevance of AI-generated scientific information. Working independently and remotely, you will provide specialized insights to develop more capable and trustworthy AI systems. This role is perfect for seasoned chemistry professionals who enjoy tackling complex problems, communicating scientific concepts, and exploring the intersection of chemistry and technology.

Accountabilities

  • Evaluate AI-generated scientific content: Review responses to theoretical and practical analytical chemistry questions, assessing factual accuracy, logical consistency, scientific rigor, and real-world laboratory relevance.
  • Apply specialized analytical chemistry knowledge: Develop and evaluate scenarios involving spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development.
  • Assess advanced analytical techniques: Challenge AI models on mass spectrometry, high-performance liquid chromatography (HPLC), gas chromatography (GC), nuclear magnetic resonance (NMR) interpretation, trace analysis, titrimetric methods, and related instrumentation.
  • Identify and document model weaknesses: Record reproducible errors, reasoning gaps, inaccurate interpretations, and other failure patterns to support systematic improvements in model performance.
  • Contribute to AI training and evaluation: Provide detailed scientific feedback, propose corrections, and recommend improvements to prompts, evaluation criteria, and testing methodologies.
  • Support scientific quality assurance: Apply principles of method validation, quality assurance and quality control (QA/QC), and analytical data interpretation to evaluate the reliability of AI-generated outputs.
  • Communicate scientific reasoning clearly: Explain conclusions, demonstrate analytical approaches, and document the steps behind technical judgments to help improve model transparency and reliability.

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