Review domain archives to understand subject matter and extract key facts.
Create accurate question-and-answer pairs covering various complexity levels.
Ensure answers are traceable, unambiguous, and consistent with approved source content.
Innodata is a global data engineering company that enables responsible AI advancement by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data and outcomes for Generative AI builders.
Analyze marketing performance data to identify trends and optimization opportunities, and support decision-making with clear insights.
Write efficient SQL queries, use Python for data preparation and automation, and assist in building curated datasets and data quality checks.
Develop dashboards and reports using BI tools, automate reporting processes, and collaborate with marketing, analytics, and data engineering teams.
Veeam is the Data and AI Trust Company, specializing in data resilience and security posture management. Headquartered in Seattle with offices in over 30 countries, Veeam protects more than 550,000 customers worldwide and fosters a collaborative, data-driven culture.
Develop production-ready analytics that support smarter energy decisions, improve grid reliability, and accelerate the transition toward a more sustainable future.
Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
Our partner company offers the opportunity to apply advanced data science, machine learning, and AI techniques to solve complex challenges in the energy sector. You will work with one of the largest energy datasets available, combining large-scale meter data, weather information, geospatial context, and grid attributes.
Lead end-to-end medical research projects with top-tier life science companies.
Conduct EMR data exploration and apply LLM-based feature engineering for clinical insights.
Perform statistical analyses and present results to clients through dashboards, publications, and presentations.
Latica is a clinical AI platform that enables safe access to de-identified real-world data to accelerate diagnostic and therapeutic innovation. Founded by repeat entrepreneurs, we are a small team that values smart, open, and enjoyable people who grow with the company.
Strengthen enterprise data governance capabilities within a fast-growing healthcare technology environment.
Collaborate with technical and business stakeholders to enhance metadata management, master data practices, and governance processes.
Contribute directly to improving data quality, transparency, and decision-making across complex healthcare ecosystems.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies by evaluating core requirements. It operates remotely with a focus on efficiency and objectivity in recruitment.
Design and develop scalable batch and streaming data pipelines for customer experience analytics.
Build and optimize production-grade ETL/ELT workflows and data warehouse architectures.
Enable AI and machine learning analytics by developing curated datasets and feature pipelines.
itD is a consulting and software development company that blends diversity, innovation, and integrity. The company is woman- and minority-led and empowers employees to deliver great results.
Develop and improve accurate and robust energy forecasting models and control algorithms.
Design, write, test, and deploy production-grade code for mission-critical forecasting products.
Translate large distributed energy datasets into actionable insights for utilities and stakeholders.
EnergyHub empowers utilities and their customers to create a clean, distributed energy future by turning smart devices into virtual power plants. The company offers a collaborative culture with a generous benefits package and is an Equal Opportunity Employer.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
Design and own the datasets and evaluation specifications for financial-domain LLMs, vision-language models, and AI agents, focusing on unstructured and multimodal financial data.
Translate customer goals into concrete dataset specifications, taxonomies, rubrics, and acceptance criteria, ensuring domain validity and statistical defensibility.
Develop evaluation methodology beyond surface accuracy, covering numerical consistency, hallucination rates, refusal appropriateness, and fairness across customer segments.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data and solutions for Generative AI builders and adopters.
Design and own the quality of clinical datasets for training and evaluating health AI models.
Collaborate with cross-functional teams to translate customer goals into dataset specifications and evaluation plans.
Ensure clinical realism, statistical defensibility, and compliance in health AI evaluation workflows.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence. With over 36 years of legacy, they deliver high-quality data and outstanding outcomes for AI builders and adopters.