Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is a US-based AI research company working on advanced generative and multimodal AI systems. We are looking for a Visual Content Annotator / Media Quality Evaluator to review and evaluate images and videos using structured rating frameworks and detailed quality guidelines. In this role, you will assess both AI-generated and real-world media content for realism, composition, motion accuracy, lighting, and overall production quality. Your evaluations will directly contribute to improving next-generation AI models. This role requires strong visual judgment, high attention to detail, and the ability to work consistently across high-volume review tasks. What You’ll Do - Review images and videos using predefined evaluation guidelines and scoring frameworks - Assess realism, composition, lighting, motion, camera movement, and production quality - Provide clear written justifications for evaluation decisions - Maintain high consistency and accuracy across large annotation workloads - Identify quality issues and inconsistencies in generated or real-world media - Apply structured reasoning when following complex annotation instructions - Incorporate feedback and guideline updates into ongoing annotation work - Collaborate with remote teams working on AI training data and evaluation Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana Selection process: 3x30min quizzes related to AI Prompt Generation

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is a US-based AI research company working on advanced generative and multimodal AI systems. We are looking for a Visual Content Annotator / Media Quality Evaluator to review and evaluate images and videos using structured rating frameworks and detailed quality guidelines. In this role, you will assess both AI-generated and real-world media content for realism, composition, motion accuracy, lighting, and overall production quality. Your evaluations will directly contribute to improving next-generation AI models. This role requires strong visual judgment, high attention to detail, and the ability to work consistently across high-volume review tasks. What You’ll Do - Review images and videos using predefined evaluation guidelines and scoring frameworks - Assess realism, composition, lighting, motion, camera movement, and production quality - Provide clear written justifications for evaluation decisions - Maintain high consistency and accuracy across large annotation workloads - Identify quality issues and inconsistencies in generated or real-world media - Apply structured reasoning when following complex annotation instructions - Incorporate feedback and guideline updates into ongoing annotation work - Collaborate with remote teams working on AI training data and evaluation Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana Selection process: 3x30min quizzes related to AI Prompt Generation

• Responsible for the accurately inputting, updating and maintaining the data in the company system and spreadsheets • Enter data from our current CRM system into our new CRM system • Review data once entered to ensure there are no errors • Update google sheet with updates of progress made each day with the data entry • Responsible for ensuring that where applicable all properties requiring a license or HMO are compliant and completing renewals as and when required • Respond to data related queries from team members • Provide end of day updates to line manager of progress • Matching and checking data for accuracy • Handling data securely and confidentially

The job profile for this position is Data Science Director, which is a Band 5 Management Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Summary As the Data Science Director for Precision Trend R&D, you will be the technical and strategic driver behind this transformation. You will architect and implement next‑generation analytics that augment actuarial rigor, improve reserve accuracy, accelerate speed‑to‑insight for FP&A, and surface emerging cost pressures earlier than ever before. Your work will directly influence enterprise‑level decisions and strengthen financial predictability for our clients, regulators, and business partners. As healthcare dynamics shift rapidly—including clinical innovation, utilization pattern changes, AI‑driven billing behavior, and evolving provider economics, traditional actuarial methods are increasingly challenged in their ability to deliver precision, speed, and predictability. We now have an unprecedented opportunity to reimagine how the enterprise predicts and manages medical risk cost, claim reserves, trend projections and financial forecasts. This role sits at the intersection of deep technical mastery, enterprise leadership, and multi-domain influence. The work you lead will be visible to senior and business leadership and will materially shape how the organization measures, interprets, and manages financial risk. Responsibilities - Leadership in Data Science: Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections - Innovation & Experimentation: Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns - Technical Expertise: Maintain deep technical fluency in Data Science and Analytics technologies and best practices - Cross-Functional Collaboration: Partner with Actuarial, Finance, Clinical, and Data & Analytics teams to co-create solutions that integrate seamlessly into actuarial workflows - Communication: communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies - Governance: Ensure models meet ASOP rigor and model lifecycle governance standards, including documentation, validation, back-testing, monitoring and audit readiness - Leadership: Manage and mentor the Data Science Senior Advisor, fostering a culture of curiosity, innovation, and disciplined delivery Qualifications - 10+ years' of progressive experience in Data Science with a focus on Healthcare highly desirable - Expert proficiency in Python, R, SQL, Git, cloud-based ML development, and experience with big data platforms (Databricks, Spark) - Proven experience in applying statistical methods, machine learning and NLP models to complex datasets - Expertise in techniques such as regression, decision trees, boosting algorithms, neural networks, clustering, and anomaly detection - Familiarity with healthcare payer data and actuarial applications - Experience with dashboarding and visualization tools (Tableau, Power BI) - Excellent communication skills with the ability to present to senior and business leadership - Strong leadership and experience with mentoring and developing data science talent - Advanced degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience is highly desirable If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 178,500 - 297,500 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan and long term incentive plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.