Role Description Join an advanced AI safety initiative focused on improving how next-generation AI systems understand and reason about complex biological sciences. We are seeking PhD-level biologists with strong research expertise to evaluate AI-generated content, develop expert-level prompts, and help ensure AI models produce scientifically accurate, responsible, and safe responses. No prior experience in artificial intelligence or machine learning is required. Comprehensive training will be provided to familiarize you with the evaluation workflow and project guidelines. Key Responsibilities - Develop expert-level prompts covering specialized topics within the biological and life sciences. - Review, evaluate, and annotate AI-generated responses for scientific accuracy, completeness, clarity, and practical usefulness. - Assess model outputs for the appropriate handling of sensitive biological and biosecurity-related topics. - Apply structured evaluation guidelines to classify prompts, conversations, and model responses consistently. - Contribute scientific expertise to improve the safety, reliability, and quality of advanced AI systems. Qualifications - PhD (completed or currently pursuing) in Biology or a closely related life science discipline, including: - Molecular Biology - Microbiology - Virology - Genetics - Biochemistry - Bioinformatics - Synthetic Biology - Immunology - Other relevant biological sciences - Strong understanding of modern laboratory methodologies and computational techniques relevant to your area of specialization. - Excellent scientific reasoning, analytical thinking, and written communication skills in English. - Sound professional judgment regarding biosecurity, biosafety, and the responsible handling of dual-use biological information. Requirements - Research or academic experience involving biosafety, biosecurity, pathogen biology, or gain-of-function considerations. - Experience reviewing, evaluating, grading, or red-teaming scientific or technical content. - Strong attention to detail and the ability to apply structured evaluation guidelines consistently. Project Details - Immediate project start. - Flexible, part-time engagement of 15–25 hours per week, with the opportunity to increase availability to 40 hours per week based on project needs. - Fully remote with flexible scheduling. Equal Opportunity We are committed to fostering an inclusive and diverse workplace. Qualified applicants will be considered without regard to legally protected characteristics, and reasonable accommodations are available throughout the application and engagement process upon request. Contract & Payment Terms - Independent contractor engagement. - Fully remote with flexible working hours. - Projects may be extended, shortened, or concluded based on business requirements and individual performance. - Weekly payments are processed through supported payment platforms. - Applicants must be legally authorized to work in the applicable hiring location. Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this opportunity.

Role Description Join a fast-paced AI evaluation initiative supporting one of the world's leading AI research organizations. We are seeking detail-oriented professionals to evaluate AI-generated outputs by applying structured grading rubrics with precision and consistency. This is an immediate-start opportunity with onboarding beginning right away. You'll review JSON-formatted model outputs, interpret detailed evaluation guidelines, and provide accurate, rubric-based assessments without the use of AI tools. - Review and understand written task descriptions and evaluation objectives. - Interpret detailed grading rubrics and apply them consistently across assignments. - Read, parse, and evaluate JSON-formatted AI model outputs against predefined quality criteria. - Assign accurate, evidence-based scores while maintaining consistency across evaluations. - Identify discrepancies, missing information, or rubric violations during the review process. - Maintain high standards of quality, accuracy, and attention to detail while meeting project turnaround expectations. - Complete all evaluations independently without using AI-assisted tools. Qualifications - Strong ability to read and interpret JSON files and structured data. - Experience applying detailed rubrics, quality standards, or evaluation frameworks with consistency. - Excellent analytical thinking and exceptional attention to detail. - Comfortable reviewing technical or structured documentation and following written guidelines precisely. - Previous experience in data annotation, quality assurance, content evaluation, AI model assessment, or similar analytical work is highly preferred. - Strong written communication skills and the ability to justify evaluation decisions clearly. - Ability to work independently while maintaining accuracy under tight deadlines. - Must be based in the United States. Requirements - Immediate onboarding with the opportunity to begin work right away. - Expected commitment of 20–40 hours per week. - Ability to complete assigned work within 12–24 hours of receiving tasks. - Requires access to a desktop or laptop computer. Chromebook devices are not supported. - Project duration may be extended based on business needs and individual performance. Equal Opportunity We are committed to fostering an inclusive environment and welcome qualified applicants from diverse backgrounds. All employment decisions are made without regard to legally protected characteristics, and reasonable accommodations are available throughout the engagement process upon request. Contract & Payment Terms - Independent contractor engagement. - Fully remote with flexible working hours. - Project duration may be extended, shortened, or concluded based on project requirements and performance. - Weekly payments are processed through supported payment platforms. - Applicants must be legally authorized to work in the United States. Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this opportunity.

Role Description Somos inspirados por tech powered by people. Por isso, precisamos de pessoas apaixonadas por desafios e com sede de aprendizado contínuo. Buscamos por novos makers para sonharem com a gente, que enxerguem além do óbvio e que estejam prontos para se juntar a nós nessa jornada de transformação e crescimento. - Gerenciar e priorizar o backlog de um ou mais produtos digitais simultaneamente. - Refinar épicos, features e user stories, definindo critérios de aceite claros. - Garantir a preparação contínua do backlog para desenvolvimento. - Conduzir atividades de Product Discovery, identificando oportunidades e validando hipóteses com usuários e stakeholders. - Atuar de forma transversal entre diferentes produtos, squads e áreas de negócio do programa JetSki. - Apoiar a construção e evolução dos roadmaps de produto. - Facilitar cerimônias ágeis como Refinement, Planning e Review. - Alinhar negócio, tecnologia e liderança, garantindo comunicação eficiente entre os envolvidos. - Atuar em iniciativas de Inteligência Artificial Generativa, Gestão do Conhecimento, RAG, Agentes de IA, Busca Inteligente, LLMs e Bases Vetoriais. - Acompanhar indicadores, riscos, dependências e governança dos produtos. Qualifications - Experiência como Product Owner em produtos digitais. - Vivência com metodologias ágeis (Scrum, Kanban ou similares). - Experiência na gestão e priorização de backlogs. - Experiência na escrita de User Stories e definição de Critérios de Aceite. - Vivência conduzindo sessões de Discovery, Refinement e Planning. - Experiência com Jira e/ou Azure DevOps. - Excelente comunicação verbal e escrita. - Forte capacidade analítica, organização e priorização. - Inglês intermediário/avançado para participação em reuniões e interação com equipes globais. Requirements - Experiência com Produtos de IA, Dados e Analytics. - Conhecimento em IA Generativa, RAG, LLMs, Chatbots e Prompt Engineering. - Vivência com UX Discovery, Design Thinking, Lean Inception e Event Storming. - Conhecimento em Microsoft Azure, Azure OpenAI, Databricks, Microsoft Fabric, Confluence, Figma e Miro. - Experiência em produtos corporativos (Enterprise), Gestão do Conhecimento, transformação digital e ambientes multiculturais.

Role Description This role is for our Albus team. As a SDE 2 at Springworks, you will be responsible for designing, developing, and maintaining robust, scalable, and efficient web applications. You will work closely with cross-functional teams, turning innovative ideas into tangible, user-friendly products. The ideal candidate has a strong foundation in back-end technologies, with a focus on Python. Experience in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) will be a significant advantage. Responsibilities: - Collaborate with product management and design teams to understand user requirements and translate them into technical specifications. - Develop and maintain server-side logic using Node.js and Python. - Build reusable and efficient code for future use. - Implement security and data protection measures. - Collaborate with other team members and stakeholders to ensure seamless integration of front-end and back-end components. - Troubleshoot and debug complex issues, identifying root causes and implementing effective solutions. - Stay up-to-date with the latest industry trends in AI, technologies, and best practices to drive innovation within the team. - Participate in architectural discussions and contribute to technical decision-making processes. Goals (not limited to): - 1 month into the job: - Become familiar with the company's products, codebase, development tools, and coding standards. - Aim to understand the existing architecture and code structure. - Start contributing to the development process by taking on smaller tasks or bug fixes and unit tests. - Ensure that your code is well-documented and follows the team's coding conventions. - Begin collaborating effectively with team members, attending daily stand-up meetings, and actively participating in discussions and code reviews. - Understand the company's culture, values, and long-term vision to align your work with the company's goals. - Deploy multiple features to production. - 3 months into the job: - Be able to independently design, develop, and deliver small to medium-sized features or improvements to the product. - Demonstrate consistent improvement in writing clean, efficient, and maintainable code. - Receive positive feedback on code reviews. - Continue to actively participate in team meetings, offer suggestions for process improvements, and collaborate effectively with colleagues. - Start assisting junior team members or interns by sharing knowledge and providing mentorship. - Seek feedback from colleagues and managers to identify areas for improvement and implement necessary changes. - 6 months into the job: - Take ownership of significant features or projects, from conception to deployment, demonstrating leadership in technical decision-making. - Identify areas of the codebase that can benefit from refactoring or performance optimizations and work on these improvements. - Propose and implement process improvements that enhance the team's efficiency and productivity. - Continue to expand your technical skill set, potentially by exploring new technologies or frameworks that align with the company's needs. - Strengthen your collaboration with other departments, such as product management or design, to ensure alignment between development and business objectives. Qualifications - Minimum 4 years of experience working with Python along with machine learning frameworks and NLP technologies. - Strong understanding of micro-services, messaging systems like SQS. - Experience in designing and maintaining NoSQL databases (MongoDB). - Familiarity with RESTful API design and implementation. - Knowledge of version control systems (e.g., Git). - Ability to work collaboratively in a team environment. - Excellent problem-solving and communication skills, and a passion for learning. - Proven ability to work on multiple projects simultaneously. Requirements - Experience with containerization (e.g., Docker, Kubernetes). - Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). - Knowledge of agile development methodologies. - Contributions to open-source projects and a strong GitHub profile. - Previous experience of working in a startup or fast-paced environment. - Strong understanding of front-end technologies such as HTML, CSS, and JavaScript. Benefits - Work from anywhere effortlessly with our remote setup perk: Rs. 50,000 for furniture and headphones, plus an annual addition of Rs. 5,000. - Health scheme covers not only your physical health but also your mental and social well-being. - Learning and growth opportunities to fuel your curiosity and help you reach new heights. - 30 annual paid leave days to relax and recharge. - Company outings and celebrations that bring the team together for unforgettable moments. - Reimbursement for workation trips to turn your travel dreams into reality. - Lifestyle allowance for food, OTT, health/fitness, and more, plus reimbursement for internet expenses.