Remote Data + ML: 10 roles with comp, work setup, and what you’d actually build

Job boards waste time because they hide the only details that matter. This list does the opposite: 10 remote (or remote-friendly) Data + ML roles with compensation, work setup, and a plain-English breakdown of what you’d be building.

Who this is for

This week’s list is for you if you’re:

• A Data Engineer, Data Scientist, ML Engineer, Research Engineer, or Applied AI/LLM builder

• Looking for remote work (or roles that explicitly allow remote)

• Able to show proof of work: shipped systems, experiments in production, measurable impact, or strong projects

• Comfortable working async and communicating clearly in writing (remote teams filter hard for this)

How to express interest

Email us at recruiter@caredynamicsfl.com with:

• The role number(s) you want (example: “2, 4, 9”)

• Your resume (PDF preferred)

• Your LinkedIn

• Your location + work authorization

• 1 link that proves you can do the work (GitHub, paper, portfolio, blog, or shipped product)

What teams are screening for right now

Remote Data/ML teams are looking for signal, fast:

• Proof you can build end-to-end, not just notebooks. Pipelines, evaluation, deployment, monitoring.

• Data fundamentals: SQL fluency, schema thinking, and knowing how data breaks in the wild.

• ML fundamentals: you can explain tradeoffs, metrics, failure modes, and why your approach works.

• Production instincts: latency, cost, reliability, debugging, observability.

• Evaluation maturity: you measure model quality, not vibes. Especially for LLM work.

• Remote execution: crisp written updates, clear timelines, and owning your tasks without babysitting.

The 10 roles

1) Machine Learning Engineer (AI Decisioning)

Comp: $200K–$260K | Work setup: Remote | Location: Not specified | YOE: 5–15 | Visa: Available What this team does: Syncs customer data from a warehouse into business tools teams rely on. What you’d be building: Decisioning and scoring systems that turn customer data into actions, plus the modeling, experimentation, and measurement layer that proves it works.

2) Geometric Computer Vision Engineer

Comp: $155K–$185K | Work setup: Remote | Location: Not specified | YOE: 2–5 | Visa: Not available (US citizen or current green card holder)What this team does: 3D perception for autonomous machines. What you’d be building: Geometry-heavy perception systems, likely including 3D reconstruction, sensor fusion, calibration, and performance-critical vision pipelines.

3) Inference Engineer

Comp: $240K–$400K | Work setup: Remote | Location: Europe, New York | YOE: Not specified | Visa: Not available What this team does: Builds high-performance AI systems. What you’d be building: Inference and serving infrastructure: latency and throughput optimization, deployment pipelines, runtime performance work, and reliability for production model serving.

4) Founding Applied AI Engineer

Comp: $130K–$190K | Work setup: Remote | Location: New York, San Francisco | YOE: 2–6 | Visa: Available What this team does: Helps revenue teams win complex deals using AI agents for relationship selling. What you’d be building: Applied AI features that plug into real workflows: agent behavior, retrieval and tool use, evaluation, and product integration that drives outcomes (not demos).

5) Senior Research Engineer

Comp: $150K–$250K | Work setup: On-site or Remote | Location: Denver | YOE: 3–5 | Visa: Not available What this team does: A compute platform for construction. What you’d be building: Research-to-production systems: experiments, modeling, and data pipelines that support real-world construction workflows, with strong emphasis on correctness and measurable impact.

6) Data Scientist

Comp: $160K–$230K | Work setup: On-site or Remote | Location: New York, Los Angeles | YOE: 5+ | Visa: Not available What this team does: Growth intelligence for wealth management. What you’d be building: Models and analytics that drive growth decisions: segmentation, forecasting, experimentation, and insights tied to product or revenue metrics.

7) Founding Senior Data Engineer

Comp: $200K–$225K | Work setup: On-site or Remote | Location: Not specified | YOE: 5+ | Visa: Not available What this team does: Physician-led, AI-enhanced medical advice. What you’d be building: Data foundations from scratch: ingestion, modeling, quality checks, and pipelines that make AI features and analytics reliable in a healthcare context.

8) Tech Lead, LLM & Generative AI

Comp: $100K–$150K | Work setup: Remote | Location: Europe | YOE: 8+ | Visa: Not available What this team does: Building the future of AI companionship. What you’d be building: LLM application architecture, evaluation loops, deployment patterns, and the technical leadership needed to take generative AI from “cool” to dependable.

9) Senior Machine Learning Researcher

Comp: $155K–$205K | Work setup: Remote | Location: Not specified | YOE: 6+ | Visa: Not available (US citizen or current green card holder)What this team does: 3D perception for autonomous machines. What you’d be building: Research-driven ML for perception: model development, training methodology, evaluation, and turning research wins into production-capable systems.

10) AI Agent Engineer

Comp: $160K–$180K | Work setup: Remote | Location: Not specified | YOE: 1–3 | Visa: Not available What this team does: Partners with schools and health plans to deliver whole-child healthcare support to K–12 students. What you’d be building: Agent workflows and reliability: tool orchestration, retrieval, evaluation, and guardrails so the system behaves under real conditions.

Note: Compensation and availability can change quickly. If you do not see a match, send your target title(s), comp range, work setup preference, and your strongest proof of work, and we’ll keep you in the loop for the next weekly drop.