Scientific & Laboratory Operations Specialist - vaga remota

A empresa micro1 está com uma vaga aberta de Scientific & Laboratory Operations Specialist. A posição fica na área de Design e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

A empresa publicou a remuneração: $40 - $50 por hora. O anúncio não impõe condição nenhuma de horário.

Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.

Role Title: Scientific & Laboratory Operations Specialist Role Type: Contractor Location: Remote micro1 is engaging Scientific & Laboratory Operations Specialists to contribute to a customer's cutting-edge project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity is ideal for professionals with backgrounds in biology, chemistry, physics, laboratory management, research and development, quality science, or manufacturing science who possess a keen analytical mindset and a passion for scientific rigor. Engaging in this initiative means your insights will directly impact the advancement of scientific AI technology on a global scale. Scope of Work

* Review and analyze scientific figures, laboratory reports, experimental results, quality documentation, and technical publications for accuracy, clarity, and consistency.

* Assess dashboards, charts, and scientific visualizations, providing expert feedback on their scientific integrity and presentation.

* Create rubrics and evaluation stems tailored for interpreting complex industry documents and visual data representations.

* Interpret, summarize, and critically assess complex scientific information to support the development of robust AI training datasets.

* Document observations, highlight potential inconsistencies, and recommend improvements for clarity and scientific accuracy.

* Collaborate with cross-functional teams to ensure comprehensive and high-quality project deliverables.

* Contribute domain-specific expertise to optimize processes and enhance the quality of training data.

Preferred Qualifications

* Professional experience in scientific, laboratory, research, manufacturing, or quality environments.

* Demonstrated ability to critically evaluate scientific figures, experiment results, laboratory documentation, and technical publications.

* Strong analytical reasoning and problem-solving skills applied to complex scientific or technical content.

* Proficiency in reviewing dashboards, charts, and scientific visualizations for accuracy and utility.

* Excellent verbal and written communication abilities, with a focus on clear documentation and feedback.

* Backgrounds in biology, chemistry, physics, laboratory management, R&D, quality science, or manufacturing science are highly valued.

* Comfort with remote collaboration and familiarity with digital documentation tools and platforms.

Originally posted on Himalayas