Remote Data Jobs

580 results

Job listings

Assamese Language Specialist – AI Trainer

Greenhouse 🌱🏠
$8–$65
USD/year

We’re looking for a highly skilled Assamese language specialist who can bring linguistic depth, cultural context, and precision to training data. You’ll work with cutting-edge AI tools, evaluate and refine Assamese text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance.

Senior Data Engineer

CompScience πŸ’»πŸ“ŠπŸ’‘
$150,000–$175,000
USD/year

Design, build, and manage core AWS data infrastructure. Responsible for creating scalable, high-performance, and cost-effective data solutions. Collaborate closely with data science, engineering, and product teams to build ETL processes and storage solutions that power analytics, underwriting, and risk management tools.

$8–$65
USD/year

We are looking for a highly skilled Asturian language specialist who can bring linguistic depth, cultural context, and precision to training data. You’ll work with cutting-edge AI tools, evaluate and refine Asturian text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance.

Head of Impact Analytics

Solace πŸ”₯πŸ”₯πŸ”₯

Transform healthcare by ensuring every patient who wants a health advocate can access one by building and leading research and analytics to show advocacy services' impact. This role combines clinical expertise, strategic thinking, and technical know-how to demonstrate Solace’s efficacy, reporting directly to the Chief Medical Officer.

Belarusian Language Specialist - AI Trainer

Greenhouse 🌿🏠
$8–$65
USD/year

Bring linguistic depth, cultural context, and precision to training data. You’ll work with cutting-edge AI tools, evaluate and refine Belarusian text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance. On a typical day, you will review and annotate Belarusian content, assess AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines.

SQL Data Engineer

Bond-Pro πŸ’πŸ”—πŸ“Š

This SQL Developer role is responsible for maintaining both Azure cloud and on-prem MS SQL Server database environments for this SaaS organization. Primary responsibilities include creating complex SQL queries, optimizing SQL queries, creating and maintaining SSIS Packages, creating SQL stored procedures, and analyzing and resolving data issues.

Business Intelligence Analyst

Peek πŸš€πŸŽ‰πŸ“

Transform data into strategic insights that shape business decisions and drive growth. Work across diverse datasets to ensure quality, uncover opportunities, and deliver impactful reporting and predictive analytics. Leverage AI-powered analytics, and automation to take BI to the next level.

Senior Data Engineer

Syrup πŸŒπŸ―πŸš€
$140,000–$180,000
USD/year

As a Senior Data Engineer, you will drive the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate with a dynamic team of data scientists, software engineers, business experts, and visionaries. In this critical role, you will revolutionize inventory decisions for apparel brands.

Senior Data Engineer

Phillies βšΎπŸ”΄πŸ””

The work of a Data Engineer at the Phillies extends well beyond merely coding. As a member of our team, you will play a central role in optimizing how data flows throughout the Phillies organization β€” from ingestion to modeling to application. You will help design, build, and optimize the data infrastructure that powers predictive models, research, dashboards, reports, and internal applications.

Senior Machine Learning Engineer

Finom πŸ‡ͺπŸ‡ΊπŸ¦πŸŒ±

As a Senior Machine Learning Engineer on the Data Science & Machine Learning team, you'll help scale efforts through data-driven insights and advanced machine-learning models. You'll develop and deploy full-stack ML models to detect and prevent financial crime, manage transaction monitoring rules, automate the ML lifecycle, work with large datasets, and contribute to building infrastructure for ML model operationalization.