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Browse remote SQL positions — data engineering, analytics, and AI data pipeline roles at companies that run on data.
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Posted 4 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
Regulatory frameworks increasingly require AI systems to produce documentation of how they make decisions: what data they used, what populations they...
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Posted 4 months ago
Applications closedXalto Tech
Remote
Chicago, United States (UTC-6)
Sales engineers need competitive intelligence at the moment they need it — in a discovery call when a prospect mentions they're also evaluating a comp...
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
Spot instances can be 70-90% cheaper than on-demand compute, but they get terminated with 2 minutes notice when AWS needs the capacity back. For ML tr...
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Posted 4 months ago
Applications closedXolvex Studio
Remote
New York, United States (UTC-5)
Every sports highlight clip needs a caption for social distribution. Right now, our platform's producers write these manually — which at 800 clips per...
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Posted 4 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
A model doesn't deploy in isolation. It depends on feature pipelines, upstream data sources, downstream consumers, and shared infrastructure component...
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Posted 4 months ago
Applications closedYentrix Works
Remote
New York, United States (UTC-5)
Technical documentation should improve based on how developers actually interact with it. When 40 developers have viewed the same API reference page a...
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Posted 4 months ago
Applications closedYovex Intelligence
Hybrid
New York, United States (UTC-5)
Manual red teaming scales poorly. A team of 10 red teamers working full-time can probe a model's guardrails with thousands of adversarial prompts per...
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Posted 4 months ago
Applications closedZaltex Data
Remote
Chicago, United States (UTC-6)
Parking availability is a meaningful driver of where people shop, eat, and run errands. A city neighborhood with unpredictable parking loses foot traf...
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Posted 4 months ago
Applications closedZelux Studio
Remote
London, United Kingdom (UTC+0)
Scope 3 emissions — the indirect emissions in a company's value chain — account for 70% of most companies' carbon footprints. They're also the hardest...
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Posted 4 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
The same model can score 73% or 81% on the same benchmark depending on whether you use greedy decoding or temperature 0.7 sampling, whether you zero-s...
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Role guide
SQL remains the most fundamental skill for working with data, and remote SQL jobs at AI companies reflect that. Roles range from analytics engineering and data warehousing to ML data pipeline development. Strong SQL engineers who also understand modern data stacks (dbt, Snowflake, BigQuery) are consistently in demand.
What SQL jobs are available remotely at AI companies?
Data engineering, analytics engineering, and BI development roles are the most common. Many also require dbt and a cloud data warehouse like Snowflake or BigQuery alongside SQL proficiency.
Is SQL enough, or do I also need Python for remote data roles?
Python significantly broadens your options. Pure SQL roles exist — especially in analytics engineering — but most data engineering positions at AI companies require both SQL and Python.
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