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Data Entry Ai Remote Jobs (NOW HIRING)

... data and analytics infrastructure. The position is FULLY REMOTE , based in Latin America ... Our talented AI developers are trusted to deliver Top AI Development services in Generative AI ...

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Remote Duration: 2 Months contract Pay Rate: $22 - $26/hr. on W2 Job Summary: We are seeking a detail-oriented Provider Data Entry Specialist to support provider data management operations. The ...

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Administrative - Data Entry

Tempe, AZ · On-site +1

$15.50/hr

Fast-paced data entry using company database and other systems * Exercise discretion and ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

Customer Service Representative- Remote

$16.50 - $22.25/hr

Customer Service Representative- Remote Warren, MI, United States Job Openings Customer Service Representative- Remote A Data Entry Clerk, is responsible for inputting data and making changes to ...

Remote Customer Service

$16.50 - $22.25/hr

Remote Customer Service Santa Clara, CA, United States Job Openings Remote Customer Service ... A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures ...

Remote Customer Service

$16.50 - $22.25/hr

Remote Customer Service Washington, District of Columbia, United States Job Openings Remote ... A Data Entry Clerk is responsible for inputting data and making changes to existing data figures in ...

Customer Service Representative- Remote

$16.50 - $22.25/hr

Customer Service Representative- Remote Phoenix, AZ, United States Job Openings Customer Service Representative- Remote A Data Entry Clerk, is responsible for inputting data and making changes to ...

Remote Customer Service

$16.50 - $22.25/hr

Remote Customer Service Murrieta, CA, United States Job Openings Remote Customer Service A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Remote Customer Service

$16.50 - $22.25/hr

Remote Customer Service Austin, Texas, United States Job Openings Remote Customer Service About The ... A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures ...

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Data Entry Ai Remote information

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How much do data entry ai remote jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data entry ai remote in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is the difference between Data Entry Ai Remote vs Data Entry Clerk?

AspectData Entry Ai RemoteData Entry Clerk
CredentialsBasic computer skills, familiarity with AI toolsHigh school diploma or equivalent, basic computer skills
Work EnvironmentRemote, often freelance or contract-basedOffice or remote, depending on employer
Industry UsageTech companies, AI startups, data servicesVarious industries including healthcare, finance, retail
Job TasksData input, validation, working with AI-assisted toolsData entry, data verification, basic administrative tasks

While both roles involve data input, Data Entry Ai Remote emphasizes working with AI tools remotely, often requiring familiarity with AI software. Data Entry Clerk is a more traditional role focused on manual data entry across various industries. The main difference lies in the use of AI technology and remote work flexibility.

What is a Data Entry AI Remote job?

A Data Entry AI Remote job involves entering, updating, or verifying data using computer systems and AI-powered tools, all while working from a remote location. This role often requires accuracy, attention to detail, and proficiency with digital platforms. Tasks may include organizing large datasets, labeling data for machine learning, or reviewing automated data entries for quality assurance. Many companies hire remote data entry specialists to handle digital records and support AI model development. This job offers flexibility and can often be performed from home.

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

To thrive as a Data Entry AI Remote worker, you need excellent typing skills, attention to detail, accuracy, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (like Microsoft Excel or Google Sheets), and sometimes basic knowledge of AI-powered data processing tools is required. Strong organizational skills, time management, and the ability to work independently are vital soft skills for remote success. These skills ensure data is entered quickly and correctly, maintaining the integrity and usefulness of company information systems.

How much do remote entry level AI jobs pay?

Remote entry-level AI data entry jobs typically pay between $12 and $20 per hour, depending on the company, location, and required skills. These roles often require basic knowledge of data management tools and may offer additional benefits such as flexible schedules.

Is remote AI jobs legit?

Remote AI jobs, including data entry roles involving AI tools, are legitimate opportunities when offered by reputable companies. However, job seekers should verify the company's credibility, avoid upfront payment requests, and be cautious of scams that promise quick earnings without clear job details.

How to make $2000 a week working from home?

To earn $2000 weekly as a remote data entry AI worker, you need to complete a high volume of accurate data entry tasks, often requiring fast typing skills and familiarity with data management tools. Increasing your hourly rate through specialized skills or certifications and working for multiple clients or platforms can help reach this income level, but it typically requires consistent effort and efficient workflow management.

Can AI do a data entry job?

AI can automate many data entry tasks by processing and inputting data quickly and accurately, reducing the need for manual labor. Data entry AI tools often use machine learning and optical character recognition (OCR) to handle large volumes of data efficiently, but human oversight is still important for quality control and complex tasks.

How does a remote Data Entry AI role typically collaborate with other team members and departments?

In a remote Data Entry AI position, collaboration often happens through digital communication tools such as email, chat platforms, and project management software. You may work closely with teams like data science, quality assurance, and IT to ensure data accuracy and streamline automated processes. Regular virtual meetings help clarify project goals, address challenges, and share updates. Being proactive in communication and maintaining organized records is key to effective teamwork in this remote environment.
More about Data Entry Ai Remote jobs
What cities are hiring for Data Entry Ai Remote jobs? Cities with the most Data Entry Ai Remote job openings:
What states have the most Data Entry Ai Remote jobs? States with the most job openings for Data Entry Ai Remote jobs include:
Infographic showing various Data Entry Ai Remote job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Data Scientist, Applied AI - Remote

Data Scientist, Applied AI - Remote

Azumo

Remote

Full-time

PTO

Posted 11 days ago


Job description

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)
This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.
We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.
Key Responsibilities
Model Development & Productionization
  • Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
  • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
  • Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
  • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps
  • Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
  • Automate training and serving workflows with Airflow or similar orchestration tools.
  • Monitor model performance in production; iterate on drift detection and retraining strategies.
  • Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices
  • Write production-grade Python code following SOLID principles, unit tests and code reviews.
  • Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
  • Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration
  • Communicate analysis, design and results clearly in English.
  • Partner with DevOps, data engineering and product teams to align on requirements and SLAs.

About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
Requirements
Minimum Qualifications
  • Bachelor's or Master's in Computer Science, Data Science or related field.
  • 5+ years of professional experience with Python in production environments.
  • Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
  • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
  • Proven track record deploying ML solutions.
  • Expert in pandas, NumPy and scikit-learn.
  • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
  • Strong foundation in statistics and experimental design.
  • Excellent written and spoken English.

Preferred Qualifications
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
  • Familiarity with big-data ecosystems (Spark, Hadoop).
  • Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
  • Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
  • Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
  • Hands-on experience with vector databases (e.g., Pinecone, FAISS).
  • Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
  • Documentation skills using PlantUML or similar.

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Profit Sharing
  • $US Remuneration