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Day Data Annotation Jobs in Columbus, OH (NOW HIRING)

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

Support workflows that create models and prepare datasets for annotation and review activities ... 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a ...

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

... your every day work, including building scripting logic and working with large datasets with LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model ...

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

... your every day work, including building scripting logic and working with large datasets with LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model ...

... your every day work, including building scripting logic and working with large datasets with LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model ...

Day Data Annotation information

What is a day data annotation job?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What are the key skills and qualifications needed to thrive as a day data annotation specialist?

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What are some common challenges faced by day data annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.

What is the difference between Day Data Annotation vs Data Labeler?

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

Can I do data annotation with no experience?

Day data annotation jobs often do not require prior experience, as training is typically provided to teach you how to label data accurately. Basic computer skills and attention to detail are usually sufficient to start, and some roles may require familiarity with annotation tools or platforms. Entry-level positions are common and can serve as a stepping stone to more advanced data-related roles.

What are the most commonly searched types of Data Annotation jobs in Columbus, OH?

The most popular types of Data Annotation jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Day Data Annotation jobs?

Cities near Columbus, OH with the most Day Data Annotation job openings:

Data Engineer

Columbus, OH • On-site

Apex Systems
IT Services • 1 - 5K employees

$40 - $55/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Job#: 3043889
Job Description:
Data Engineer
Location: Columbus, OH (Onsite)
Pay: $40-$55/hr
Role Overview
A motivated AWS Data Ingestion Specialist is being sought to support a growing workflow platform that manages large volumes of unstructured data, including drone imagery, camera photos, LiDAR, and point cloud datasets. This individual will have a key role in designing, supporting, and enhancing data ingestion, storage, metadata management, and API-driven workflows within AWS. This is an opportunity for a professional who is eager to learn, grow, and contribute to technology initiatives.
Key Responsibilities
  • Support the ingestion, validation, storage, and management of large unstructured datasets including drone imagery, camera photos, LiDAR data, point clouds, and other sensor-generated datasets.
  • Develop and maintain data ingestion workflows within AWS environments.
  • Manage and optimize AWS S3 storage solutions, including bucket design, organization, lifecycle management, and security considerations.
  • Design and support API integrations that move data between systems and facilitate workflow automation.
  • Ensure metadata is properly validated, structured, and maintained throughout the data lifecycle.
  • Assist with data architecture efforts spanning ingestion, processing, storage, retrieval, and downstream consumption.
  • Support workflows that create models and prepare datasets for annotation and review activities.
  • Collaborate with product owners, engineers, and business stakeholders to improve data quality and operational efficiency.
  • Participate in troubleshooting, process improvement, and platform enhancement initiatives.
  • Document workflows, technical processes, and best practices.
Required Qualifications
Experience: 2-4 years of professional experience in data ingestion, cloud engineering, data operations, or a related field.
Technical Skills: Hands-on experience with AWS services, including Amazon S3, IAM fundamentals, and AWS APIs and integrations. Experience developing, configuring, or supporting APIs. Understanding of serverless and cloud-native data processing concepts, data movement, ingestion pipelines, and metadata management processes. Experience working with large datasets and cloud-based storage solutions.
General Skills: Ability to troubleshoot technical issues and work independently in a fast-paced environment. Strong communication and collaboration skills.
Preferred Qualifications
  • Experience working with imagery, geospatial, drone, LiDAR, point cloud, or other unstructured datasets.
  • Familiarity with data architecture concepts from ingestion through storage and retrieval.
  • Exposure to annotation workflows, machine learning data preparation, or human-in-the-loop review processes.
  • Experience with Python, scripting, or automation tools.
  • Knowledge of data governance and data quality practices.
Compensation & Benefits
A comprehensive benefits package is available to eligible employees.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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