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Remote Data Entry Coding Jobs in Beverly, MA (NOW HIRING)

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

Participate in code reviews and contribute to technical documentation. * Collaborate Across Teams ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

Participate in code reviews and contribute to technical documentation. * Collaborate Across Teams ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Troubleshoot performance and cost issues; mentor engineers and set coding standards. Must-have qualifications * 6-10+ years in data engineering with a track record of production pipelines. * Expert ...

Medical Billing Specialist

Boston, MA ยท Remote

$19.75 - $25.50/hr

Strong data entry skills required; must possess exceptional attention to detail and prioritization ... With flexible schedules, a remote-first culture, and a nationally recognized wellness program, our ...

Data Entry; * Follow-up with providers (via phone, email, fax). This job requires frequent phone ... Ability to work independently in a remote setting; * Knowledgeable of basic Microsoft Office ...

This is a remote position. Please note that this position is contingent upon bid award. Essential Duties and Responsibilities: * Prepare weekly internal reports. * Perform accurately all data entry ...

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Remote Data Entry Coding information

See Beverly, MA salary details

$12

$21

$31

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

As of Jul 7, 2026, the average hourly pay for remote data entry coding in Beverly, MA is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.13 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

How to make $1000 a week remote?

Remote data entry coding jobs typically pay hourly or per project, and earning $1000 weekly requires consistent high-volume work, efficient data management skills, and possibly working multiple platforms or clients. Building a strong reputation and gaining experience can help increase your earning potential, but reaching this income level often depends on your speed, accuracy, and the demand for your services.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

Can I get a remote data entry job?

Remote data entry jobs are widely available and typically involve inputting information into digital systems from home. These roles often require basic computer skills, attention to detail, and familiarity with data management tools like spreadsheets or databases. Many companies offer flexible schedules for such positions, which can be found on various online job platforms.

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

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.

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

Remote data entry coding jobs typically pay hourly rates that may not reach $2000 weekly unless working full-time at high rates or combining multiple projects. To earn this amount, professionals often need advanced skills, certifications, or work in specialized fields such as medical coding or data analysis, and may supplement income through multiple clients or overtime. Building a strong skill set and gaining experience can increase earning potential in remote data entry coding roles.

Does data entry involve coding?

Data entry jobs typically do not involve coding; they focus on inputting and managing data using software like spreadsheets or databases. Some roles may require basic knowledge of tools or simple formulas, but coding skills are generally not necessary for standard data entry positions.
What cities near Beverly, MA are hiring for Remote Data Entry Coding jobs? Cities near Beverly, MA with the most Remote Data Entry Coding job openings:
Infographic showing various Remote Data Entry Coding job openings in Beverly, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $44,706 per year, or $21.5 per hour.
Machine Learning Engineer, Data Mining

Machine Learning Engineer, Data Mining

Motional

Boston, MA โ€ข On-site, Remote

$144K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):
  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):
  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$144,000-$192,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.