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Remote Transcript Evaluator Jobs in Missouri (NOW HIRING)

Jobgether

Lead quality operations across multilingual evaluation, speech and audio review, transcription ... Benefits * Fully remote position with flexibility to work from anywhere. * Opportunity to ...

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Remote Transcript Evaluator information

See Missouri salary details

$27.7K

$61.4K

$99.9K

How much do remote transcript evaluator jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote transcript evaluator in Missouri is $61,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,700.00 and $74,600.00 per year, depending on experience, location, and employer.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media executives, content directors, or specialized roles like media strategists and digital marketing managers can earn $150,000 or more annually. These positions typically require extensive experience, strong industry knowledge, and often involve leadership responsibilities or advanced skills in analytics, content creation, or advertising.

What do remote evaluators do?

Remote transcript evaluators review and assess audio or written transcripts for accuracy, clarity, and quality. They often use specialized software and require strong attention to detail, good communication skills, and sometimes industry-specific knowledge to ensure transcripts meet established standards.

What are the typical daily tasks and responsibilities for a Remote Transcript Evaluator?

A Remote Transcript Evaluator is responsible for reviewing and assessing academic transcripts from various educational systems to determine equivalency or eligibility for academic programs or employment. Daily tasks often include analyzing academic records, inputting data into evaluation systems, preparing detailed evaluation reports, and communicating with clients or institutions to clarify requirements. You will usually work independently but may collaborate virtually with team members or subject matter experts for complex cases. Staying organized and maintaining confidentiality are essential, as the work involves sensitive and sometimes time-sensitive information.

What are the key skills and qualifications needed to thrive in the Remote Transcript Evaluator position, and why are they important?

To thrive as a Remote Transcript Evaluator, you need strong analytical abilities, attention to detail, and knowledge of academic credential assessment, often supported by a relevant bachelor's degree. Familiarity with evaluation software platforms, international grading systems, and possibly certification from organizations like NACES or AICE is highly beneficial. Excellent written communication, time management, and adaptability to remote collaboration distinguish top performers in this role. These skills ensure evaluations are accurate, timely, and meet the diverse requirements of educational institutions and employers.

What is a Remote Transcript Evaluator job?

A Remote Transcript Evaluator reviews and assesses academic transcripts to determine course equivalencies, eligibility for programs, or credential validation. They work for educational institutions, credential evaluation agencies, or employers, ensuring that academic records meet specific standards. This role requires knowledge of different education systems, attention to detail, and proficiency in evaluation tools. Since the job is remote, evaluators use digital platforms to access and analyze transcripts.

Is a remote online evaluator a legit job?

A remote online evaluator is a legitimate job that involves reviewing content, such as search results or advertisements, often requiring good analytical skills and internet access. These positions are typically offered by reputable companies and may require training or certification, but applicants should be cautious of scams and verify the employer's credibility before applying.

How to become a transcript evaluator?

To become a remote transcript evaluator, candidates typically need a high school diploma or higher education, strong attention to detail, and good reading comprehension skills. Experience with data entry, transcription, or language proficiency can be beneficial, and familiarity with evaluation tools or software is often required. Some positions may require specific certifications or training provided by the employer.
What are popular job titles related to Remote Transcript Evaluator jobs in Missouri? For Remote Transcript Evaluator jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Transcript Evaluator jobs in Missouri look for? The top searched job categories for Remote Transcript Evaluator jobs in Missouri are:
What cities in Missouri are hiring for Remote Transcript Evaluator jobs? Cities in Missouri with the most Remote Transcript Evaluator job openings:
Remote Transcript Evaluator jobs near you
Infographic showing various Remote Transcript Evaluator job openings in Missouri as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $61,412 per year, or $29.5 per hour.

Senior Manager, Data Quality & Evaluation

Jobgether

Remote

Full-time

Posted 13 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Quality & Evaluation based in Netherlands.

This role offers the opportunity to build and lead the quality foundation behind advanced AI data programs supporting the next generation of intelligent systems.
You will define evaluation frameworks, quality standards, and operational processes that ensure reliable and scalable human data workflows.
The position combines strategic leadership, analytical problem-solving, and hands-on execution across AI evaluation, annotation, and data quality initiatives.
You will collaborate with cross-functional teams and customers to transform complex requirements into effective quality solutions.
The ideal candidate is a quality-focused leader who enjoys building systems, improving processes, and driving operational excellence in a fast-moving AI environment.
You will play a key role in strengthening trust, performance, and scalability across AI development programs.

Accountabilities
  • Design and manage quality frameworks for AI data and evaluation programs, including quality standards, acceptance criteria, review processes, and performance metrics.
  • Translate customer requirements into scalable quality workflows that support data collection, annotation, evaluation, review, calibration, and reporting activities.
  • Identify quality risks early and collaborate with delivery teams to resolve issues affecting timelines, customer confidence, or program outcomes.
  • Build repeatable quality processes for calibration, QA sampling, adjudication, reviewer performance tracking, and customer reporting.
  • Lead quality operations across multilingual evaluation, speech and audio review, transcription, annotation, human preference evaluation, expert review, coding evaluation, and AI model assessment programs.
  • Develop and improve rubrics, task instructions, reviewer guidelines, calibration exercises, golden datasets, scorecards, and reporting templates.
  • Monitor quality indicators such as reviewer agreement, error trends, performance metrics, and root causes of quality variation.
  • Turn quality insights into actionable improvements across instructions, training programs, tooling, staffing models, and operational workflows.
  • Support strategic customer programs through quality reviews, business discussions, escalations, retrospectives, and improvement plans.
  • Partner with internal teams to ensure programs are designed for quality success from initial planning through production delivery.
  • Build reusable quality assets and standardized approaches that improve scalability across multiple programs.
  • Lead, coach, and develop Quality Managers, Quality Leads, Quality Specialists, reviewers, and other contributors involved in data quality operations.
  • Promote a culture of quality ownership, accountability, continuous improvement, and operational excellence.
Requirements
  • 5+ years of experience in quality operations, data operations, AI data services, localization quality, annotation quality, evaluation operations, trust and safety quality, or a related field.
  • Proven experience managing quality programs for complex customer accounts or large-scale operational delivery environments.
  • Strong understanding of QA methodologies, calibration processes, sampling strategies, adjudication, error analysis, and performance reporting.
  • Experience collaborating with cross-functional teams including operations, delivery, supply chain, sales, and customer-facing stakeholders.
  • Strong analytical skills with the ability to transform quality data into operational improvements and strategic recommendations.
  • Excellent written and verbal communication skills, with the ability to explain quality insights clearly to customers and senior stakeholders.
  • Experience building processes in fast-moving, ambiguous environments where systems and workflows are continuously evolving.
  • Strong leadership and people management skills, including coaching and developing quality specialists, reviewers, annotators, or operational teams.
  • Experience with AI data workflows, RLHF, LLM evaluation, speech/audio evaluation, transcription, coding evaluation, multilingual evaluation, or expert review programs is highly valued.
  • Experience designing evaluation rubrics, annotation guidelines, reviewer training materials, calibration workflows, or quality scorecards is a plus.
  • Familiarity with human-in-the-loop data processes, annotation platforms, QA tools, dashboards, and distributed contributor networks is desirable.
  • Knowledge of multilingual evaluation, cultural considerations, language quality risks, or specialized domain review processes is beneficial.
Benefits
  • Fully remote position with flexibility to work from anywhere.
  • Opportunity to contribute to the development of AI systems through high-impact data quality initiatives.
  • Leadership role with significant influence over quality strategy, processes, and operational standards.
  • Collaboration with international teams working on advanced AI programs.
  • Opportunity to build scalable systems and shape the future of AI evaluation operations.
  • Professional growth opportunities within a fast-evolving technology environment.
  • Dynamic workplace focused on innovation, continuous improvement, and operational excellence.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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