Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
Design and run experiments using real-world and benchmark datasets, evaluating models against strong baselines.
Collaborate with researchers and engineers to build prototypes and assess product potential for real-world applications.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We are a global team of over 2,000 employees with a best-in-class HQ in Ottawa, Canada, and we take our culture seriously.
Lead the integration of Flag Football data sources into the central data platform.
Coordinate data acquisition across clubs, leagues, vendors, and international partners.
Establish data governance, reporting frameworks, and participation measurement methodologies.
Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence responsibly and strategically at scale. With over 25 years of experience and 2,000+ professionals across North America, Europe, and Asia, Adastra delivers end-to-end data and cloud solutions in a flexible, dynamic workplace.
Lead a team of Architects, Algorithm Developers, and Operations Research specialists solving complex supply chain challenges.
Drive innovation through optimization, machine learning, and advanced analytics across the platform.
Partner with Product Management, Engineering, and customer-facing teams to shape future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. The company has grown to over 2,000 employees worldwide and is recognized as a top employer, fostering a culture of innovation and collaboration.
Lead a team producing high-quality training data and evaluations for advanced AI models.
Review engineering-domain work, uphold quality standards, and drive operational improvements.
Coach and develop AI Tutors while collaborating with engineering and human data teams.
Jobgether is an AI-powered job platform that connects candidates with partner companies using objective matching. This role is with a partner company focused on AI training data, offering a collaborative, remote-first environment emphasizing autonomy and continuous learning.
Use data to answer strategic questions and support business strategy.
Access, clean, and organize raw data for teams and stakeholders.
Build automated dashboards and funnels to visualize product, user, and operational data.
Super.com is a high-growth tech company on a mission to help people save more, earn more, and get more out of life. They celebrate high performers, focus on career progression, and have hosted over 100 engineering internships.
Lead psychometric research partnerships and manage data extracts for efficacy studies.
Own Khan Academy Kids' KPI dashboard and prepare recurring analytics reporting.
Recruit and manage research partner sites and coordinate data-sharing agreements.
Khan Academy is a nonprofit dedicated to providing a free, world-class education to anyone, anywhere. With over 181 million registered learners globally, the organization values diversity, equity, and inclusion and fosters a remote-first culture.
Design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain, including demand forecasting and supplier risk modeling.
Own the full ML stack from modeling and MLOps to deployment and monitoring, building production systems that drive real business decisions.
Partner cross-functionally with teams in Planning, Procurement, Fulfillment, Finance, Sales, Engineering, and executive leadership to align on data requirements and drive adoption.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights and improved efficiency. As a recently public company, Samsara fosters a culture of ownership and long-term impact, with a flexible remote model and comprehensive benefits for its diverse team.
Audit 30% of production output to ensure rating quality and consistency during the pilot phase.
Identify and flag miscalibration or inconsistent scoring across raters.
Provide clear, actionable feedback and corrections to raters to maintain alignment.
Welo Data provides AI services, focusing on data annotation and quality assurance for machine learning models. They are a global freelance community with a collaborative, independent culture.
Evaluate AI-generated slides, spreadsheets, and documents for real-world usability and professional quality.
Assess outputs for accuracy, clarity, relevance, and alignment with data science standards.
Provide structured written feedback to help improve AI systems and their outputs.
A partner company is seeking a Data Science Expert to evaluate AI-generated work. The company focuses on improving AI systems and operates with a flexible, remote team.
Interpret LiDAR data and imagery to assess terrain, drainage, vegetation, and other site characteristics.
Define and maintain analysis methodologies, acceptance criteria, and quality controls for remote sensing products.
Produce maps and 2D/3D geospatial deliverables to support site investigations and technical decision-making.
This organization supports major infrastructure projects by turning geospatial data into actionable technical insights. The company fosters a collaborative and multidisciplinary environment focused on innovation and technical excellence, with a team that values rigorous analysis and quality control.