1

Manager Linguistic Annotation Jobs (NOW HIRING)

ENGR SR COMPUTATIONAL LINGUIST

Pittsburgh, PA · On-site +1

$106K - $145K/yr

Two (2) years of professional experience with data annotation or medical coding and documentation ... To improve the onboarding experience, you will have an opportunity to meet with your manager and ...

Two (2) years of professional experience with data annotation or medical coding and documentation ... To improve the onboarding experience, you will have an opportunity to meet with your manager and ...

New

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

... data delivery, annotation operations, localization project management, marketplace operations ... or linguistic data. • Experience building or improving internal tools, workflow systems ...

... and annotation operations teams for safety language evaluation efforts. Ensure alignment on ... linguists, or language service providers. * Comfortable developing and delivering presentations ...

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and ... linguistic approaches * Collaborate with stakeholders on evaluating the quality of machine learning ...

next page

Showing results 1-20

Manager Linguistic Annotation information

See salary details

$22.5K

$64.2K

$114K

How much do manager linguistic annotation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager linguistic annotation in the United States is $64,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Linguistic Annotation, and why are they important?

To thrive as a Manager Linguistic Annotation, you need expertise in linguistics or computational linguistics, experience with annotation projects, and often an advanced degree in a related field. Familiarity with annotation tools, data management systems, and project management software is typically required. Strong leadership, communication, and organizational skills help manage teams, meet deadlines, and ensure high-quality output. These abilities are crucial for overseeing complex annotation workflows and delivering accurate linguistic data for AI and NLP applications.

What are Manager Linguistic Annotation jobs?

Manager Linguistic Annotation jobs involve overseeing teams that label and annotate linguistic data, such as text, audio, or speech, to train and improve artificial intelligence and natural language processing systems. These managers are responsible for project planning, quality assurance, and ensuring that annotation guidelines are followed. They often collaborate with linguists, data scientists, and engineers to deliver high-quality annotated datasets on time. Strong communication skills, attention to detail, and experience in linguistics or language technology are typically required for this role.

How does a Manager of Linguistic Annotation typically collaborate with cross-functional teams to ensure project success?

A Manager of Linguistic Annotation frequently works alongside data scientists, computational linguists, software engineers, and product managers to align annotation guidelines with project goals. This role involves coordinating annotation tasks, clarifying linguistic requirements, and ensuring data quality through regular feedback sessions. Effective communication and the ability to translate linguistic concepts for non-specialist teammates are crucial. By fostering collaboration, the manager ensures that annotated datasets are accurate, consistent, and useful for downstream applications such as machine learning models.
More about Manager Linguistic Annotation jobs
What cities are hiring for Manager Linguistic Annotation jobs? Cities with the most Manager Linguistic Annotation job openings:
What are the most commonly searched types of Linguistic Annotation jobs? The most popular types of Linguistic Annotation jobs are:
What states have the most Manager Linguistic Annotation jobs? States with the most job openings for Manager Linguistic Annotation jobs include:
What job categories do people searching Manager Linguistic Annotation jobs look for? The top searched job categories for Manager Linguistic Annotation jobs are:
Infographic showing various Manager Linguistic Annotation job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 23% Full Time, 21% Part Time, 23% Contract, and 31% Nights. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $64,154 per year, or $30.8 per hour.

Romanized Hindi Transcription Expert

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

$22 - $28.50/hr

Full-time

Posted 16 days ago


Job description

Romanized Hindi Transcription Expert

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Accurately transcribe Romanized Hindi audio and text data into written form.

Review and correct automated or machine-generated Romanized Hindi transcriptions for accuracy.

Add detailed metadata tags and context-rich annotations to audio and text files.

Ensure consistency, linguistic integrity, and quality across all transcription work.

Collaborate with the customer's team to align on project guidelines and best practices.

Communicate effectively with project managers and team members, both in writing and verbally.

Meet established deadlines and manage multiple transcription assignments efficiently.

Required Skills and Qualifications:

Fluent proficiency in Romanized Hindi (reading, writing, and listening).

Proven experience in transcription, with a strong eye for detail and quality.

Expertise in adding metadata tags and performing annotation tasks.

Ability to review and correct errors in machine-generated transcriptions.

Excellent written and verbal communication skills, demonstrating a high level of care and professionalism.

Capability to work independently in a remote setting while maintaining productivity.

Strong organizational skills and ability to handle sensitive linguistic data.

Preferred Qualifications:

Prior experience as an audio engineer, data annotator, or professional transcriber.

Familiarity with large-scale transcription or annotation projects.

Experience working with multicultural or linguistically diverse teams.