Evaluate AI-generated video clips against text prompts to identify mismatches, inconsistencies, and visual errors.
Tag specific prompt text that doesn't match the video and write clear descriptions for each error instance.
Apply project guidelines consistently, perform self-QA, and participate in calibration sessions to ensure high accuracy.
Welocalize is a trusted global transformation partner that enables brands to reach and engage international audiences through multilingual content services in translation, localization, and adaptation for over 250 languages. With a growing network of over 400,000 in-country linguistic resources and operations across North America, Europe, and Asia, the company drives innovation in language services for NLP-enabled machine learning.
Act as client-facing analytics owner, architecting measurement solutions and driving strategy across digital analytics and GEO (Generative Engine Optimization).
Lead traditional analytics work (60%) including implementation audits, tag management, and measurement frameworks tied to business outcomes.
Drive GEO measurement (40%) by designing test-and-learn programs, evaluating incrementality, and translating emerging search signals into actionable strategy.
Seer Interactive is a digital marketing consultancy that uses data, technology, and AI to drive growth for clients and communities. As a remote-first agency and Certified B-Corp with team members nationwide, Seer fosters a culture of compassion, truth-seeking, and continuous learning.
Engage in multi-disciplinary teams to deliver complex AI, Engineering, and Data & Analytics cases on the Databricks platform, becoming a trusted advisor to clients from data owners to C-level executives.
Serve as a Databricks subject matter expert internally and externally, creating engaging technical content and thought leadership.
Provide technical leadership and hands-on delivery in a consulting role, contributing to the growth of the Databricks partnership and supporting channel and sales activities.
Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy, specializing in enabling tangible business outcomes and ROI for organizations globally. The company is building a diverse team of talented and motivated individuals passionate about responsibly deploying AI solutions.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Design and improve graph-based approaches for identity resolution across devices, households, and identifiers to improve match quality, coverage, and stability.
Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows.
Leverage LLMs, AI editors, and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration.
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile, transforming Connected TV into a direct-response performance marketing channel. The company was named one of Ad Age's Best Places To Work in 2025 and one of Fast Company's Most Innovative Companies in 2023, with a culture defined by trust, ambition, quality, and compassionate leadership.
Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
Advance AI-native data practices and collaborate with engineering on analytics architecture.
Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.
Perform analytics for Risk Adjustment operations, including PR calculations and HCC metrics.
Write SQL queries and develop Tableau dashboards to visualize healthcare data.
Assist with NLP projects and AI initiatives to enhance medical data processing.
Cotiviti is a healthcare data processing and AI company. The company focuses on analytics, risk adjustment, and AI innovation, with a size and culture that values collaboration and learning.
Define and maintain the enterprise data architecture roadmap to align data strategy with business priorities and technology goals.
Lead the design of data platforms including data warehouse and lake-house architecture, and champion Data Mesh strategy for domain-oriented ownership.
Establish standards for data pipelines, transformation logic, and integration frameworks across on-premises and cloud environments.
Lifeway is a Christian mission-driven organization focused on making disciples of Jesus Christ. They foster a Work from Anywhere culture with a strong emphasis on faith, community, and flexibility, serving a medium-to-large team across the U.S.
Own the end-to-end lifecycle of enrollment data, from inbound 834 file processing through system validation and data entry to ongoing maintenance.
Perform systematic data validation and quality assurance, identifying anomalies, duplicates, and discrepancies while executing scheduled and ad-hoc audits.
Lead targeted data cleanup projects and collaborate cross-functionally with engineering, claims, and population health teams to resolve data issues.
Evry Health is on a mission to bring humanity to health insurance, offering high-technology health plans that expand benefits and increase access. As the major medical division of Globe Life, it has 16.8 million policies in force and over 3,000 corporate employees and 15,000 agents, with a 45-year A (Excellent) rating from A.M. Best Company.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.