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We believe AI can only perform as well as the data it’s trained on. Forbes for partnering experts with top AI labs to provide the high quality data for LLMs.

Additional pay available based on project performance.Freelance/1099 contract — not an internship.Flexible hours — you choose when and how much to work.Weekly via our secure platform.Outlier, a platform owned and operated by Scale AI, is looking for.If you're passionate about improving models an

We believe AI can only perform as well as the data it’s trained on. Forbes for partnering experts with top AI labs to provide the high quality data for LLMs.

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it’s trained on.

Earn up to $16 USD/hourly and work remotely and flexibly.Outlier, a platform owned and operated by Scale AI, is looking for.If you're passionate about improving models and excited by the future of AI, this is your opportunity to make a real impact.Analytical and Problem-Solving Skills.Ability to dev

This role will own the end-to-end data ingestion process, establish and enforce data governance policies, develop and optimize data-related processes, and drive the use of data for financial reporting and strategic decision-making. Job Description: Data Officer Position Summary The Data Officer is r

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.This is a Lead Software Engineering position at Director level, which is part of the job f

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

The ideal individual should have a deep understanding of data analysis and have the ability to develop SQL code to extract statistical & financial data across databases. Advanced SQL skills Experience building business strategy from data findings Collaborate with internal and external partners t

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Data source migration – updating all connections from Oracle to Snowflake. Required Bachelor's Degree or equivalent in business, liberal arts, computer science, application programming, software development, information systems, database administration, mathematics, engineering, or other related f

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Develop, implement, and optimize data pipelines using Apache Airflow, Databricks, and other relevant technologies to ensure reliable data flow and process automation. Explore i

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Support implementation of best practices in data engineering and data management. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intell

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

The ideal candidate will have strong hands-on skills in SQL, Python, and modern data engineering tools, with the ability to contribute to architecture, performance tuning, and advanced data governance depending on experience level. Our services include Industry Leading Custom Software Development, A

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Experience in designing and implementing data pipelines.

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

This role involves designing and maintaining data pipelines, optimizing ETL processes, and collaborating with cross-functional teams to ensure data integrity and accessibility. Position Title : ETL Databricks.

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Experience with synthetic data generation, vector databases, or GenAI-powered data products. We’re looking for a hands-on Data Engineer to help build, scale, and fine-tune real-time data systems using Kafka, AWS, and a modern data stack. Strong SQL skills and solid database fundamentals with Postg

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e. Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Experience with Azure Cloud, Databr

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Develop and maintain data pipelines for batch and streaming architectures, focusing on data quality, reliability, and scalability. Exposure to Databricks, AWS data services, or other cloud platforms. As a Software Engineer II, you will design, build, and maintain reliable data pipelines and models a

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Lead data migration or system implementation projects when upgrading platforms for data consistency. Generate and analyze reports on data completeness, product onboarding timelines, and vendor data quality. Work closely with: IT, Marketing, and Sales teams to identify data needs and integrate produc

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Great data experience, data mining/accuracy and data relationships. Communicate progress of new product data setup through PM System (Workfront). Manipulate and combine data from varying source documents.

Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

Assists in training of new employees. Encourages, develops, and accepts new and innovative ways of doing things. Ability to understand and demonstrate knowledge of data information systems.

Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt. Architect and implement new databases and data platforms to meet business and technical requirements. Alliance Technical Group is seeking an ex

Owned and operated by Scale AI , we’ve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it’s trained on. This data has led to AI advancements for the world's leading AI labs an

We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship.

Collaborate with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns. Ensure AI products meet enterprise-grade security and compliance standards. Implement monitoring for model performance, data drift, and usage metrics.

We're seeking a highly skilled and hands-on Data Architect to lead the design, implementation, and ongoing evolution of our enterprise-grade data systems. Strong, hands-on experience with the Azure Data Ecosystem including Azure Data Lake Storage (ADLS), Azure Synapse Analytics (or equivalent cloud

Ensure AI products meet enterprise-grade security and compliance standards. Implement monitoring for model performance, data drift, and usage metrics. Bachelors or Masters in Computer Science, AI, Data Science, or related field.

Define and enforce standards for data governance, metadata management, and data observability across distributed systems. We're seeking a highly skilled and hands-on Data Architect to lead the design, implementation, and ongoing evolution of our enterprise-grade data systems. Strong, hands-on experi

You will own the database/data platform architecture that powers these products—driving performance, reliability, auditability, and cost efficiency at multi-tenant, multi-terabyte scale. Own the end-to-end data architecture for enterprise SaaS (OLTP + analytical serving), including Azure SQL/MI, D

In this Data Platform team lead role, you will be accountable for leading a team of 5 engineers to build and maintain Viasat's Data Platform in a GCP environment. You will design and implement solutions to manage our data lake, govern our data, and enable AI and ML solutions. For specific work locat

Identify and correct data entry errors, ensuring the highest level of data integrity. Collect, compile, and enter data into company work applications. Evaluate, research, organize, and interpret data accurately to provide actionable insights.

This position focuses on researching, developing, testing, and deploying data pipelines, curating and optimizing data for our internal data lake and Ciena's AI and ML applications. Experience with big data technologies (Databricks, Spark, Hadoop) and modern data architectures. Evaluating and selecti

Additionally, this role supports day-to-day data operations, including pulling and preparing data lists, executing Salesforce operational requests, performing data quality checks, and ensuring data integrity across CRM, ticketing, and data warehouse systems. Contribute to building a culture of data

Additionally, this role supports day-to-day data operations, including pulling and preparing data lists, executing Salesforce operational requests, performing data quality checks, and ensuring data integrity across CRM, ticketing, and data warehouse systems. Contribute to building a culture of data