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

Regulatory network analysis and genetic annotation of data. * Participating in collaborative ... dedicated day to accomplish things in your personal life without using vacation time. * Enjoy ...

Regulatory network analysis and genetic annotation of data. * Participating in collaborative ... dedicated day to accomplish things in your personal life without using vacation time. * Enjoy ...

Regulatory network analysis and genetic annotation of data. * Participating in collaborative ... dedicated day to accomplish things in your personal life without using vacation time. * Enjoy ...

Day Data Annotation information

What are the key skills and qualifications needed to thrive as a Day Data Annotation Specialist, and why are they important?

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 are Day Data Annotation jobs?

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 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.

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 are popular job titles related to Day Data Annotation jobs in Columbus, OH? For Day Data Annotation jobs in Columbus, OH, the most frequently searched job titles are:
Senior Software Engineer, Perception Platform

Senior Software Engineer, Perception Platform

Path Robotics

Columbus, OH • On-site

$118.30K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We're looking for a Senior Software Engineer to be an architect and caretaker of our Perception codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You'll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation for our Perception models.
What You'll Do
  • Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
  • Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
  • Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
  • Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
  • Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
  • Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.

Who You Are
  • 5+ years building production backend systems in Python (C++ is a plus).
  • Expertise in architecture, concurrency, performance, and API design.
  • Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
  • Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
  • Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
  • Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
  • Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.
Why You'll Love It Here
  • Free lunch every day
  • Flexible PTO
  • Medical, Dental, and Vision insurance
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.