Job Description We’re seeking skilled Biology, Chemistry, and Physics subject matter experts to contribute their specialized knowledge and enhance the quality of our AI training datasets. This role offers the chance to work remotely, partnering closely with Meta’s AI research teams to advance cutting-edge technologies. What You'll Do:  · Domain Expertise Advisory: Guide research teams to close knowledge gaps and improve AI model performance, focused on your specialty field; collaborate with other subject matter experts to ensure consistency and accuracy in training data  · Guideline Development: Create, edit, and maintain high-quality annotation guidelines tailored to your area of expertise. Ensure that these guidelines are up-to-date, clear, and concise to enable vendors to deliver accurate annotations. As a domain SME, you'll set the gold standard for quality and rigor.  · Quality Assurance: Evaluate and grade the quality of annotations produced by vendors. Identify areas of improvement and provide feedback to optimize the quality of annotations.  · Data Annotation: Directly annotate data for key tasks across the model development life cycle. problems in logical, step-by-step thinking preferred.  · Domain Knowledge: Experience with physics (specific sub-domains below).  · Deep Knowledge: Demonstrated deep understanding and expertise in physics.  · Communication Skills: Strong written and verbal communication skills to effectively convey complex ideas and guidance to internal teams and external vendors.  · Analytical Skills: Exceptional analytical abilities to identify trends, evaluate annotation quality, and provide actionable feedback.  · Collaboration: Proven ability to work collaboratively with cross-functional teams and external partners to achieve shared goals.  · Adaptability: Flexibility and willingness to learn and adapt to new technologies and processes in a rapidly evolving environment. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • Advanced degree (PhD preferred; exceptional candidates with Master’s degrees considered) in a relevant scientific field  • Demonstrated expertise in a specialty area within Biology, Chemistry, or Physics (outlined below)  • Strong analytical, problem-solving, and technical communication skills  • Ability to work both independently and as part of a collaborative scientific team Biological Sciences – Priority Expertise Areas: We are recruiting across a broad range of biological subdisciplines with emphasis on the following (listed by priority need):  1. Ecology / Environmental Science / Geology Ecosystem dynamics, environmental modeling, Earth systems, geobiology.  2. Animal Behavior / Evolutionary Biology Behavioral ecology, evolutionary mechanisms, population dynamics.  3. Bioinformatics Computational biology, genomics, large-scale data analysis, algorithmic methods.  4. Biomedical & Clinical / Translational Science Physiology, pathology, toxicology, pharmacology, molecular mechanisms of disease. • Record of peer-reviewed publications or demonstrated research impact  • Experience with computational tools, statistical modeling, or simulation frameworks  • Ability to communicate complex concepts to technical and non-technical stakeholders  • Cross-disciplinary interest or experience