Remote Data Jobs

Looking for part-time, remote, work-from-home jobs where you can set your own schedule, this opportunity helps to improve the reliability of today’s AI models! Typical tasks include annotating or evaluating AI-generated speech for naturalness, human likeness, and expressiveness and comparing AI and human responses.

The Data Platform team is responsible for maintaining and evolving the Data Platform used by Neon. Responsibilities include designing, building, and maintaining scalable data pipelines, optimizing data architectures, and collaborating with various teams to translate needs into improvements for the data platform. Additionally, they ensure the platform's scalability, stability, and observability, participate in discussions about platform features and data architecture, and address incidents to restore normal operation.

Optimize decisions and execution with analyses through partnering with Client Success, Sales, and Partnerships teams as the data SME for Revenue segments. Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base. Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions.

We are looking for an experienced Data Engineer who will use various methods to transform raw data into useful data systems. The incumbent will create algorithms and conduct statistical analysis to strive for efficiency by aligning data systems with business goals.

As an AI Tutor, Virology Specialist, you will play a vital role in shaping how advanced AI models understand and communicate complex biological and biomedical concepts. Leveraging your deep knowledge of virology, molecular biology, and infectious disease, you’ll evaluate and improve AI-generated content to ensure scientific accuracy, conceptual clarity, and educational value.

Lead the team that transforms raw risk and payments data into real-time decisions that power the platform in this hands-on role. Drive critical proof-of-concept (POC) and proof-of-value (POV) projects for enterprise customers and financial institutions. Work closely with Product, Engineering, and GTM teams to reduce fraud, improve conversion, and help customers see the ROI of Sardine.

Thinking through credit strategies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle. This role requires extensive use of data analytics to derive insights and develop credit strategies. It also requires a lot of cross-functional partnership.

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and Platts Analytics businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data quality monitoring and maintenance.

The Staff AI Researcher is responsible for the development of working prototypes using off-the- shelf and novel AI techniques to deliver higher optimization levels for the company. You will work with large, complex data sets and solve difficult, non-routine analysis problems to harvest data. You will also re-design current pipelines and systems to meet the growing data and query needs.