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Remote Ai Analyst Jobs (NOW HIRING)

ERC Pathlight

AI Applications Analyst

Aspen, CO · On-site +1

The AI & Applications Analyst supports the successful adoption, testing, training, and optimization ... Remote : Mondays and Fridays * On-site in our Denver Office: Tuesdays, Wednesdays, and Thursdays

1 point system

AI Pricing Analyst

Rock Hill, SC · Remote

Requirement - AI Pricing Analyst Location- USA Remote Contract W2 Top Must Haves: * Strong experience in pricing analysis or financial modeling * Experience building pricing models and forecasting ...

Inizio Partners

Lead AI Engineer

New York, NY · Remote

$150K - $155K/yr

Lead AI & Analytics Engineer US Remote * Experience: 6-9 years * AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1-2 ...

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How much do remote ai analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote ai analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What jobs pay 2000 a day?

Remote AI analysts or data scientists with specialized skills in machine learning, deep learning, and large-scale data processing can potentially earn around $2,000 per day, especially when working as independent consultants or in high-demand industries. Such roles often require advanced certifications, experience, and proficiency with tools like Python, TensorFlow, or cloud platforms, and may involve project-based or contract work with flexible schedules.

What job makes $10,000 a month without a degree?

A remote AI analyst can potentially earn $10,000 a month by leveraging skills in data analysis, machine learning, and programming, often working independently or for companies that value expertise over formal education. Success depends on experience, project complexity, and the ability to deliver high-value insights, with some professionals reaching this income level through freelancing or consulting. Building a strong portfolio and proficiency in tools like Python, TensorFlow, or cloud platforms can enhance earning potential.

What is a Remote AI Analyst?

A Remote AI Analyst is a professional who works primarily online to analyze, interpret, and generate insights from data using artificial intelligence tools and techniques. They often help organizations make data-driven decisions by developing models, monitoring AI system performance, and translating complex data findings into actionable recommendations. Working remotely, these analysts leverage advanced technologies and communication platforms to collaborate with teams and stakeholders across different locations. Their responsibilities may include data preprocessing, model evaluation, reporting, and staying up-to-date with the latest AI advancements.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior data scientists, or specialized machine learning engineers with extensive experience and advanced skills. These positions often involve leadership, strategic decision-making, and expertise in AI tools and frameworks, and they usually offer compensation packages including salary, bonuses, and stock options. Such roles are rare and highly competitive, often requiring advanced degrees and proven industry success.

How do Remote AI Analysts typically collaborate with cross-functional teams despite working remotely?

Remote AI Analysts frequently collaborate with data scientists, engineers, product managers, and business stakeholders through virtual meetings, shared project management tools, and real-time communication platforms. Effective collaboration often involves regular video conferences, clear documentation of analysis and findings, and proactive communication to align on objectives and project timelines. Being remote requires strong self-management and the ability to communicate technical concepts clearly to both technical and non-technical team members. This collaborative approach ensures that insights from AI models are integrated into business decisions effectively.

Can you work in AI remotely?

Remote AI analysts can work from anywhere with a stable internet connection, as many companies offer remote positions in this field. These roles often require skills in data analysis, programming, and familiarity with AI tools, and may involve flexible schedules. However, some positions may require specific certifications or on-site collaboration depending on the employer.

What are the key skills and qualifications needed to thrive as a Remote AI Analyst, and why are they important?

To thrive as a Remote AI Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and knowledge of data visualization tools are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These competencies are crucial for interpreting complex data, building effective AI models, and ensuring successful remote teamwork.
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Remote Ai Analyst jobs near you
Infographic showing various Remote Ai Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

San Diego, CA • On-site, Remote

$40/hr

Other

Posted 3 days ago

Job description

Cloud Data Engineer - AI & Analytics Transformation 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics. 

Key Responsibilities: 

  • Design and implement modern data architectures using cloud platforms  
  • Build and optimize ETL/ELT pipelines for large-scale datasets  
  • Work closely with cross-functional teams to deliver business insights  

Required Skills: 

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery  
  • Strong cloud experience (AWS, Azure, GCP)  
  • Experience in distributed data processing and pipeline orchestration  

Nice to Have: 

  • Exposure to ML engineering and MLOps practices  
  • Experience with GenAI or Agentic AI solutions  
  • Understanding of enterprise AI governance frameworks  

For more details reach at resumes@navitassols.com.

Apply