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Entry Level Ai Media Captioning Jobs (NOW HIRING)

Summary You will push the boundaries of the state-of-the-art in audio and media technologies. The ... captioning, etc. would be highly beneficial. What You Will Accomplish • Partner closely with ...

Summary You will push the boundaries of the state-of-the-art in audio and media technologies. The ... captioning, etc. would be highly beneficial. What You Will Accomplish Partner closely with other ...

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Entry Level Ai Media Captioning information

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$11K

$111K

How much do entry level ai media captioning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level ai media captioning in the United States is $110,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What is an entry level AI media captioning job?

Entry level AI media captioning jobs involve creating, editing, or reviewing captions and subtitles for audio and video content using artificial intelligence tools. These roles typically require listening to media, correcting AI-generated captions, and ensuring text matches spoken dialogue accurately. No advanced experience is needed, but attention to detail, good language skills, and basic computer proficiency are important. Many positions are remote and may be part-time or project-based, providing a good starting point for those interested in media, technology, or accessibility services.

What are the key skills and qualifications needed to thrive as an entry level AI media captioning specialist?

To excel in Entry Level AI Media Captioning, you need strong language proficiency, attention to detail, and basic typing skills, often supported by a high school diploma or equivalent. Familiarity with captioning software, video editing tools, and speech recognition systems is typically required. Excellent listening abilities, time management, and the ability to work independently are valuable soft skills in this role. These competencies ensure captions are accurate, timely, and accessible, supporting content quality and inclusivity for diverse audiences.

What are some common challenges faced by entry level AI media captioning specialists, and how can I prepare for them?

Entry-level AI media captioning specialists often encounter challenges such as maintaining high accuracy while working with diverse audio qualities and accents, ensuring fast turnaround times, and adapting to evolving AI tools and software. To prepare, familiarize yourself with common captioning platforms, practice transcribing various audio types, and stay updated on industry standards for accessibility. Collaborating closely with editors and quality assurance teams can also help you improve your skills and adapt to feedback effectively.

What are the most commonly searched types of Ai Media Captioning jobs?

The most popular types of Ai Media Captioning jobs are:

What are popular job titles related to Entry Level Ai Media Captioning jobs?

For Entry Level Ai Media Captioning jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Ai Media Captioning job openings in the United States as of June 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $110,184 per year, or $53 per hour.

Library Graduate Digital Accessibility Lead - Federal Work-Study Possible(Graduate Student Wage)

Charlottesville, VA • On-site

The University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees

Part-time

Re-posted 25 days ago


Key responsibilities

  • Lead and supervise undergraduate team members, providing task direction, quality review, and mentorship.

  • Perform advanced production work in their assigned track, handling complex or escalated materials.

  • Contribute to workflow documentation, quality standards, and program assessment activities.


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


Job description

The Library Digital Accessibility Lead leads one of two sub-teams within the UVA Library Digital Accessibility Student Team: Captioning & Transcription or PDF & Document Remediation. The Lead directly supervises two undergraduate Library Digital Accessibility Assistants, providing day-to-day task direction, quality review, and professional mentorship. In addition to team leadership responsibilities, the Lead performs advanced production work in their track and contributes to workflow design, quality documentation, and program assessment. The position reports to the Library's Digital Accessibility Specialist.

This role is well suited to graduate students seeking professional experience in accessibility program management, library services, or a related field. Specific responsibilities vary by track.

Primary ResponsibilitiesTeam Leadership and Quality Assurance (approximately 35% of effort)
  • Provide day-to-day direction to two undergraduate Assistants, including task assignment, workload pacing, and deadline management

  • Review all undergraduate output before final submission, applying established quality benchmarks

  • Deliver structured, constructive written feedback to undergraduate team members on a regular basis

  • Serve as the first point of escalation for undergraduate questions, edge cases, and complex or unfamiliar material

  • Document recurring quality issues and communicate patterns to the Digital Accessibility Specialist to support training improvements

Advanced Production Work (approximately 45% of effort)
  • Leads perform advanced production work in their assigned track, handling complex or escalated materials that exceed undergraduate skill level. Track-specific responsibilities will be provided in the position supplement.

  • Across both tracks, all Leads are expected to: Handle materials requiring specialized accessibility judgment and Maintain accurate production logs and contribute to team throughput tracking

  • See tracks for additional details

Workflow, Documentation, and Assessment (approximately 20% of effort)

  • Contribute to workflow documentation and onboarding materials during the first weeks of each semester

  • Develop or refine quality checklists and standards for use by undergraduate team members

  • Contribute to documentation of institutional accessibility standards and guidelines for use by future team cohorts and other Library units

  • Support end-of-semester assessment of throughput, quality metrics, and team sustainability

  • Participate in cross-team coordination with the other Graduate Leads as needed

Additional Track-Specific Responsibilities Captioning & Transcription Focus Area

In addition to team leadership responsibilities, the Lead performs advanced captioning and transcription production work and co-leads the semester's multilingual captioning pilot, testing LLM-based workflows for non-English language media.Job functions include:

  • Create accurate captions and transcripts for Library digital media using captioning software tools

  • Edit and correct auto-generated captions to meet quality standards for timing, accuracy, speaker identification, and readability

  • Edit captions and transcripts for materials with multiple speakers, background noise, or technical vocabulary, applying judgment about clarity and speaker attribution

  • Follow established style guides and quality benchmarks for caption formatting

  • Submit completed work to the Graduate Captioning Specialist for quality review and incorporate feedback

  • Assist with quality review of LLM-generated captions for non-English language media as directed by the Graduate Captioning Specialist

  • Flag accuracy concerns and document recurring issues for pilot evaluation

  • Design and document test protocols for evaluating AI-generated captions in non-English languages

  • Evaluate third-party and AI-generated caption outputs against FCC caption quality standards and WCAG 2.1 Success Criterion 1.2, documenting error patterns by type for pilot reporting

  • Coordinate undergraduate quality review of pilot outputs and synthesize reviewer feedback

  • Contribute findings and recommendations to the pilot evaluation report

PDF and Document Remediation Focus Area

In addition to team leadership responsibilities, the Lead performs advanced remediation work on complex or high-priority materials and contributes to workflow design, quality benchmarking, institutional documentation, and end-of-semester program assessment. Job functions include:

  • Remediate PDF and document files to meet WCAG 2.1 AA and PDF/UA accessibility standards

  • Correct and add reading order, semantic tags, heading structure, alt text for images, and document metadata using Adobe Acrobat Pro

  • Apply quality control for complex content types such as tables, charts, and multi-column layouts, flagging items that require escalation to the Graduate Remediation Specialist

  • Perform remediation of complex or priority documents, including materials with mathematical content, multi-column layouts, data tables, forms, or scanned content requiring OCR correction

  • Handle escalated files that exceed undergraduate skill level or require specialized accessibility judgment

  • Apply the full remediation tool stack as needed: SensusAccess, Equidox, Adobe Acrobat Pro, PAC 2024

  • Maintain accurate production logs and contribute to team throughput tracking

  • Assist with evaluation of third-party tools and vendor accessibility documentation (VPATs) against WCAG 2.1 AA standards, as directed by the Digital Accessibility Specialist


Federal work-study students are eligible to apply.

Submit a CV/resume as well as a cover letter detailing your experience with accessibility, attention to detail, or related skills, and your commitment to digital equity and information access. Applications will be reviewed on a rolling basis.


MINIMUM REQUIREMENTS

Education: Bachelor's degree. Registered as a graduate student.

Licensure: None


PREFERRED REQUIREMENTS

  • Prior experience with captioning, transcription, or audio/video editing

  • Familiarity with captioning platforms such as YouTube Studio, Verbit, 3Play Media, or Amara

  • Experience with or interest in linguistics, a second language, or translingual content - particularly relevant for supporting the multilingual captioning pilot

  • Prior experience with PDF editing, document formatting, or accessibility remediation

  • Familiarity with Adobe Acrobat Pro, Microsoft Word accessibility features, or HTML/document structure concepts

  • Background in a STEM field or familiarity with technical notation (formulas, equations, diagrams) is a plus, given the volume of STEM content in Library collections

  • Familiarity with version control or document management practices, such as tracking file versions, naming conventions, and organized handoffs

  • Interest in disability studies, media accessibility, or library and information science

PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, trainings, and programs. Hybrid work might be possible after an initial training period.

WEEKLY HOURS

Up to 20 hours/week; average 10-12 hours across the semester

Hourly Rate: $22/hour

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment.


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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819