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Internship Remote Data Labelling Jobs in Ohio (NOW HIRING)

This is a remote position that can be located anywhere west of the missippi. This position will be ... Travel to customers' locations to install, start-up, maintain, troubleshoot labeling machines.

This is a remote position that can be located anywhere west of the missippi. This position will be ... Travel to customers' locations to install, start-up, maintain, troubleshoot labeling machines.

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Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
Performance Media Coordinator

Performance Media Coordinator

Pansophic Learning

Cleveland, OH • On-site, Remote

$50K - $65K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Position Summary

The Performance Media Coordinator is an early-career individual contributor responsible for supporting paid search and paid social execution across ACCEL Schools, ELAs, and CapEd. This role ensures campaigns are launched accurately, maintained consistently, and documented thoroughly. The Coordinator manages QA workflows, asset organization, pacing checks, and initial optimization inputs while collaborating closely with the Specialist and cross-functional partners. The role is ideal for someone with foundational digital marketing experience who is eager to grow within a performance-driven environment.

Eligibility: Open to residents of Ohio

Essential Duties & Responsibilities

  • Assist in building and maintaining campaigns across Google Ads, Meta Ads Manager, TikTok Ads, and emerging platforms, ensuring accuracy and attention to detail throughout the setup process.
  • Support keyword research, preliminary ad copywriting, audience configuration, placement selection, and creative trafficking, contributing to early-stage campaign development.
  • Conduct rigorous QA across naming conventions, targeting settings, budgets, URLs, UTMs, conversion events, and platform governance to ensure campaigns launch cleanly and track effectively.
  • Monitor pacing, identify anomalies, and surface data-driven insights to the Specialist for review and potential optimization action.
  • Maintain creative libraries, asset trackers, UTM consistency records, and documentation repositories to support cross-functional visibility and audit-readiness.
  • Support weekly dashboards, data pulls, performance reporting, insight summaries, and enrollment trend monitoring to help the team maintain a proactive understanding of funnel health.
  • Coordinate closely with Creative, Enrollment, Analytics, CRM, and local field teams to ensure assets, messaging, and campaign requirements are delivered on time and with full accuracy.
  • Assist with seasonal calendar planning, community-level messaging needs, and adjustments across the three business units.
  • Other duties as assigned.

Minimum Qualifications (Must-Haves)

  • Bachelor's degree in Marketing, Business, Communications, or a related field.
  • 1–2 years of digital marketing experience; internships and applied coursework accepted.
  • Familiarity with paid search or paid social platforms and a strong desire to advance into deeper channel expertise.
  • Strong communication skills, high attention to detail, and the ability to manage multiple tasks simultaneously.

Preferred Qualifications

  • Experience supporting paid search or paid social execution in any capacity.
  • Basic familiarity with analytics tools, CRM systems, or dashboards.
  • Understanding of multi-location marketing, education marketing, or localized community outreach.

Additional Requirements

  • Fully remote (US-based); Ohio preferred but not required.
  • Up to 10% travel for team or organizational events.
  • Flexibility to collaborate across US time zones.

Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

The annual starting salary for this position is between $50,000 – $65,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

We offer the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, 10 paid holidays annually.

Paid Time Off: Paid Time Off to cover sick, vacation, and personal absences.

We offer 4 unique health insurance plans to choose from that cover a wide range of deductibles and co- insurance levels. Our goal is to provide you with maximum choice in finding a plan that meets you and your family's needs. Employees can choose from co-pay or High Deductible Health Plans.

EQUAL EMPLOYMENT OPPORTUNITY

It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

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