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Ai Data Remote Jobs (NOW HIRING)

eAI

Head of AI & Data (Remote)

Bodega Bay, CA · Remote

Role Overview We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions. This role is responsible ...

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers. What You'll Do

DEEPREC.AI

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

STI

AI Data Architect

$65.25 - $84/hr

Denver, CO/REMOTE This position is for a remote work environment Duration: 6+ Months We are seeking a highly skilled and forward-thinking AI Data Architect to play a pivotal role in shaping our data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

NewRocket

AI Data Intelligence Lead

OR · Remote

AI Data Intelligence Lead AI Foundry | NewRocket Location ... Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ...

NewRocket

AI Data Intelligence Lead

AI Data Intelligence Lead AI Foundry | NewRocket Location ... Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ...

Trustwell

Lead AI & Data Scientist

$150K - $170K/yr

Role: Lead AI & Data Scientist FLSA: Full Time | Exempt | Salaried | Remote (US) Reports to: Chief Technology Officer Scope of Position : We are seeking a Lead AI & Data Scientist to help define ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ... AI and healthcare.

phData

Data & AI Strategy Leader

... is a remote-first global company with employees based in the United States, Latin America, and ... Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case ...

Modine Manufacturing Company

Senior AI Data Architect

$68.75 - $92/hr

Remote, USA Posting Start Date: 4/7/26 Req Id: 7594 Required Travel: 0 - 20% Remote, Onsite or ... Data & AI Architecture Design: Design and maintain the enterprise-wide architecture for data and AI ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ... AI and healthcare.

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Ai Data Remote information

What are the key skills and qualifications needed to thrive as an AI Data Remote Specialist, and why are they important?

To thrive as an AI Data Remote Specialist, you need a solid understanding of data annotation, data analysis, and familiarity with AI concepts, typically supported by a relevant degree or prior experience in data-related fields. Proficiency with annotation tools, data management platforms, and basic programming languages like Python is often required. Attention to detail, time management, and strong communication skills are critical for accuracy and effective collaboration in a remote environment. These skills ensure high-quality, reliable data that is essential for training effective AI models and contributing to successful AI projects.

What is the difference between Ai Data Remote vs Data Analyst?

AspectAi Data RemoteData Analyst
Required CredentialsDegree in Data Science, AI, or related fields; programming skillsBachelor's in Statistics, Data Analysis, or related fields; analytical skills
Work EnvironmentRemote, often project-based or freelanceRemote or on-site, corporate or consulting settings
Industry UsageTech, AI startups, research firmsBusiness, finance, healthcare, marketing
Common Search/ComparisonYesNo

Ai Data Remote roles focus on developing and applying AI models and algorithms remotely, requiring specialized technical skills. Data Analysts interpret data to inform business decisions, often in a broader range of industries. While both roles involve data, Ai Data Remote positions are more technical and AI-specific, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by AI Data professionals working remotely, and how can they be addressed?

AI Data professionals working remotely often face challenges such as coordinating with distributed teams, ensuring data security, and maintaining clear communication with stakeholders. To address these, it's important to establish regular check-ins, use secure data transfer tools, and leverage collaborative project management platforms. Additionally, setting clear expectations and documentation standards helps minimize misunderstandings and keeps projects on track.

What are AI Data Remote jobs?

AI Data Remote jobs involve working with artificial intelligence (AI) data tasks from a remote location, often from home. These roles typically include data labeling, data annotation, data analysis, and data management to help train and improve AI models. Employees in these positions may review, organize, and categorize large datasets, ensuring that the information used by AI systems is accurate and relevant. Remote AI data jobs are popular because they offer flexibility and the opportunity to work for companies across the globe.
More about Ai Data Remote jobs
What cities are hiring for Ai Data Remote jobs? Cities with the most Ai Data Remote job openings:
What are the most commonly searched types of Ai Data jobs? The most popular types of Ai Data jobs are:
What states have the most Ai Data Remote jobs? States with the most job openings for Ai Data Remote jobs include:
What job categories do people searching Ai Data Remote jobs look for? The top searched job categories for Ai Data Remote jobs are:
Ai Data Remote jobs near you
Infographic showing various Ai Data Remote job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 64% Full Time, 24% Part Time, and 9% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Head of AI & Data (Remote)

Head of AI & Data (Remote)

eAI

Bodega Bay, CA • Remote

Full-time

Posted 12 days ago

Job description

Role Overview

We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions.

This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments.

You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready.

What You'll OwnAI Systems & Model Development
  • Lead design and development of AI/ML models for prediction, decisioning, and automation
  • Build AI agent systems using LLMs and structured financial data
  • Define model architecture, training approach, evaluation, and iteration cycles
  • Improve model performance across accuracy, reliability, and explainability
Data Infrastructure & Engineering
  • Build and scale data pipelines supporting real-time and batch processing
  • Design data architecture for structured and unstructured financial data
  • Ensure data quality, consistency, lineage, and security
  • Support integration of multiple data sources across banking workflows
Production Deployment & Scalability
  • Deploy models into production environments with high reliability and uptime
  • Ensure systems meet enterprise requirements (latency, scalability, observability)
  • Build monitoring systems for model drift, performance, and anomalies
  • Work closely with engineering to operationalize AI features at scale
Financial Use Cases & Domain Intelligence
  • Translate financial workflows into AI-driven systems
  • Build models for use cases such as:
    • risk scoring
    • credit decisioning
    • fraud detection
    • customer behavior prediction
  • Work closely with product and domain experts to ensure real-world applicability

What We're Looking ForRequired Experience
  • Experience building and deploying production ML/AI systems
  • Strong background in machine learning, data engineering, or applied AI
  • Experience working with large-scale datasets and model pipelines
  • Hands-on ability to design and ship systems (not just research)
  • Strong understanding of model evaluation and system performance
Strong Preference For Candidates With
  • Experience with LLMs, agent-based systems, or foundation models
  • Background at leading AI, infrastructure, or data companies
  • Experience in fintech, financial data, or regulated environments
  • Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.)
  • Experience building systems from early-stage to production scale
What Success Looks Like (First 612 Months)
  • Production-grade AI systems powering core financial workflows
  • Stable, scalable data infrastructure supporting multiple product lines
  • Measurable improvements in model accuracy and system reliability
  • Clear AI architecture supporting enterprise adoption and scale
  • Strong collaboration with product and engineering to ship AI features
Why This Role

This is a high-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions.

You will own the technical backbone of the platform and directly influence how AI is applied in real banking environments.

Reports to: CEO / CTO