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Artificial Intelligence Data Entry Jobs (NOW HIRING)

Artificial Intelligence DCCA is a veteran-owned IT business specializing in providing innovative ... Experience analyzing complex data sets to identify patterns and trends, and designs and develops ...

Artificial Intelligence Space Engineer

Roma, TX · On-site

$89K - $107K/yr

They are seeking an Artificial Intelligence Engineer to design and develop AI components, work on machine learning and symbolic AI, and ensure data knowledge and traceability. Responsibilities : • ...

Data Entry Specialist

Springfield, MO · On-site

$15.50 - $20.75/hr

... artificial intelligence, and workforce innovation to help modernize the profession. Our leadership ... Description The Data Entry Specialist - Administrative Assistant is responsible for managing ...

Computer science, Data Science, Engineering, Operations Research, Industrial Engineering, Applied Mathematics Additional Education: A master's degree in Artificial Intelligence, Data Science ...

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Artificial Intelligence Data Entry information

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How much do artificial intelligence data entry jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for artificial intelligence data entry 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 are some typical responsibilities and daily tasks for someone in an Artificial Intelligence Data Entry position?

In an Artificial Intelligence Data Entry role, your main tasks often include inputting, labeling, and validating large volumes of data that will be used to train AI or machine learning models. You may interact with different formats, such as images, text, or audio, and work closely with data scientists or engineers to ensure guidelines are followed precisely. Attention to detail is critical as even small errors can impact the performance of AI systems. Additionally, you may be asked to review outputs and provide feedback or corrections, contributing to improvements in model accuracy. The role is typically team-oriented, requiring clear communication to maintain consistency and meet project deadlines.

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

An artificial intelligence data entry role typically does not pay $10,000 a month without specialized skills or experience. High-paying jobs in this field usually require advanced knowledge of AI tools, programming, or data management, and often benefit from certifications or prior experience. Most roles at this income level are found in senior or specialized positions that may also require a degree or equivalent expertise.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists working in large organizations or tech companies. These roles often require advanced skills in machine learning, deep learning, and extensive experience, with compensation reflecting leadership responsibilities and expertise.

Can AI do a data entry job?

Artificial Intelligence Data Entry involves using AI tools and software to automate the input and management of data, reducing manual effort and increasing efficiency. While AI can perform many routine data entry tasks, human oversight is often necessary to ensure accuracy and handle complex or unstructured data. Skills in data management, familiarity with AI software, and attention to detail are important for such roles.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Data Entry position, and why are they important?

Success in an Artificial Intelligence Data Entry role requires strong attention to detail, accuracy in data handling, and proficiency with spreadsheets and database management systems, typically supported by a high school diploma or equivalent. Familiarity with AI data labeling tools, basic understanding of machine learning concepts, and experience using software such as Excel, Google Sheets, or annotation platforms are advantageous. Excellent organizational skills, time management, and the ability to communicate clearly help individuals excel when collaborating with technical teams. These competencies ensure that data fed into AI systems is high-quality, consistent, and reliable, directly impacting the effectiveness of machine learning models.

How can I make $2000 a week working from home?

Artificial Intelligence Data Entry roles can offer remote work opportunities that, with consistent effort and high-volume tasks, potentially generate around $2000 weekly. Success depends on factors such as the number of hours worked, accuracy, speed, and access to multiple platforms or clients. Developing strong data entry skills and familiarity with AI-related tools can improve earning potential.

What is an Artificial Intelligence Data Entry job?

An Artificial Intelligence Data Entry job involves collecting, processing, and inputting data to train and improve AI models. Professionals in this role ensure data accuracy, categorize information, and annotate datasets for machine learning purposes. This position requires attention to detail, basic technical skills, and familiarity with AI tools or platforms. It plays a crucial role in enhancing AI systems by providing high-quality data for better model performance.

More about Artificial Intelligence Data Entry jobs
What cities are hiring for Artificial Intelligence Data Entry jobs? Cities with the most Artificial Intelligence Data Entry job openings:
What are the most commonly searched types of Artificial Intelligence Data Entry jobs? The most popular types of Artificial Intelligence Data Entry jobs are:
Infographic showing various Artificial Intelligence Data Entry job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 62% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Senior Manager, Artificial Intelligence Data Engineer

Senior Manager, Artificial Intelligence Data Engineer

Regeneron Pharmaceuticals

Warren, MI

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

13th of 71 rated pharmaceutical


Job description

Build our future together:

Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help us reduce cycle times, improve quality allowing us to focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to allow resources to fuel our transformation. Working with a team of engineers, analysts, and scientists, you will contribute to modernizing our clinical data infrastructure. This highly visible role will be a technical and strategic liaison between the transformation projects and IT.

A key responsibility will be developing and optimizing schema and data models for clinical data. We ensure that those products are standard compliant and interoperable with other platforms and data sources. This role will also contribute to data governance strategy and to the development and management of tools improving and monitoring data quality. The data engineer will also develop processes to automate routine workflows. The engineer will also provide technical leadership and mentorship and will stay current with innovations in data engineering so that they may be evaluated for implementation.
This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & where:
This can be a remote position in the US or on-site position at our Armonk, NY or Warren, NJ offices.

Discover your role:
Work with a cross-functional team to optimize and implement our data strategy with a focus on optimization for digital transformation and the use of AI/ML
Design and document end-to-end data architectures that support diverse analytic, operational, and research needs.
Facilitate the implementation of a modern data platform (e.g. Snowflake, Databricks, etc.)
Identify opportunities and implement solutions to increase data interoperability and standardization among systems and across other business units.
Develop and implement pipelines to monitor and improve both internal and external (i.e., from CRO partners) data quality.
Work with informatics and AI engineers optimizing the utility of data for their respective pipelines.
Monitor and optimize the performance of data architectures and platforms.
Develop or implement critical metrics to measure the impact of the overall data strategy.
Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption

This role requires:
An advanced degree in computer science, statistics, biomedical informatics, or a related field is preferred (PhD + 2 years of experience or an MS + 4 years of relevant experience). A minimum of 5 years' experience developing and leading the implementation of data engineering solutions, including accountability for the success of the implementation, in life sciences or healthcare
Demonstrated expertise in designing and maintaining infrastructure and architecture for clinical or biomedical data in a healthcare or life sciences setting.
Expertise in modern data platforms (e.g., Snowflake, Redshift, BigQuery, Databricks) and programming languages such as Python, SQL, R, etc.
Maintain and manage code repositories (e.g Bitbucket) ensuring clean, well-documented code with proper version control.
Proficiency in cloud architecture (e.g. AWS, Azure, GCP) and DevOps practices. Recognized certifications are a plus.
Experience building, scaling, and maintaining pipelines for structured and unstructured data. Ability to integrate pipelines across the enterprise is essential.
Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR).
Knowledge of machine learning pipelines and integration with clinical data platforms.
May require travel up to 20%.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$150,500.00 - $245,500.00

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