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Speech Annotation Jobs (NOW HIRING)

Confidential company is seeking an Annotation Lead to fine-tune and calibrate AI/ML processes ... Speech evaluation, Search Results Evaluation, Search Query Categorization. • Experience following ...

Annotation Lead

Los Angeles, CA · On-site

$38 - $42/hr

Contract Remote Role | Annotation Lead 6 months contract Pay Range: $38-42/hour on w2 Will work ... Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query ...

Annotation Lead

Seattle, WA · On-site

$45 - $50/hr

Contract Remote Role | Annotation Lead 6 months contract Pay Range: $45/hour on w2 Description ... Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query ...

Annotation Lead

San Francisco, CA · On-site

$40 - $42/hr

Remote Contract Role | Annotation Lead 6 months contract with possible extension Pay Range: 38 -42 ... Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query ...

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Annotation Lead

Seattle, WA · Remote

$45 - $50/hr

The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that ... Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query ...

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Speech Annotation information

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$46

$69

How much do speech annotation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for speech annotation in the United States is $46.80, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $52.16 per hour, depending on experience, location, and employer.

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

To excel as a Speech Annotation Specialist, you need strong linguistic knowledge, attention to detail, and familiarity with phonetics or language data, often supported by a degree in linguistics or a related field. Proficiency with annotation tools like ELAN, Praat, or custom software platforms is essential, along with an understanding of data management systems. Excellent analytical skills, patience, and clear communication help ensure accuracy and efficient teamwork. These skills are crucial for producing high-quality speech datasets, which are fundamental for training and improving speech recognition technologies.

What are some common challenges faced by professionals in Speech Annotation roles, and how can they be managed?

Speech Annotation professionals often encounter challenges such as distinguishing between overlapping speakers, accurately transcribing accented or low-quality audio, and adhering to strict annotation guidelines. Managing these challenges requires strong attention to detail, patience, and effective use of annotation tools. Collaborating closely with team members and participating in regular quality reviews can help maintain consistency and accuracy across projects. Staying up-to-date with evolving annotation standards and seeking feedback are also key to overcoming common obstacles in this role.

What is speech annotation?

Speech annotation is the process of labeling audio recordings of speech with relevant information, such as transcriptions, speaker identification, emotion, or linguistic features. This work is essential for training and improving speech recognition systems, natural language processing tools, and voice assistants. Annotators listen to audio clips and apply tags or notes according to specific guidelines, ensuring that machine learning models can accurately interpret spoken language. The quality and consistency of speech annotation directly impact the performance of AI systems that rely on understanding human speech.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data, such as speech or text, to improve machine learning models. It typically requires attention to detail, familiarity with annotation tools, and may offer flexible schedules and entry-level opportunities. The job can be stable and in demand as AI and data-driven technologies grow.

What is the difference between Speech Annotation vs Speech Data Labeler?

AspectSpeech AnnotationSpeech Data Labeler
Required CredentialsBasic computer skills, sometimes familiarity with transcription toolsSimilar; often no formal degree required
Work EnvironmentRemote or office-based, working with audio files and annotation softwareRemote or office-based, focusing on labeling speech data
Industry UsageUsed in speech recognition, NLP, AI trainingUsed in speech recognition, AI, and machine learning projects
Common Search IntentUnderstanding roles in speech data processingFinding entry-level speech data tasks

Speech Annotation and Speech Data Labeler roles both involve working with speech data, but Speech Annotation typically requires more detailed labeling, such as marking phonemes or intonations, while Speech Data Labeler focuses on basic transcription and tagging. Both roles are essential in training speech recognition systems and often share similar work environments and skills.

More about Speech Annotation jobs
What cities are hiring for Speech Annotation jobs? Cities with the most Speech Annotation job openings:
What states have the most Speech Annotation jobs? States with the most job openings for Speech Annotation jobs include:
What job categories do people searching Speech Annotation jobs look for? The top searched job categories for Speech Annotation jobs are:
Infographic showing various Speech Annotation job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $97,350 per year, or $46.8 per hour.

Professional Voice Actor - Italian

Alignerr

Seattle, WA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Professional Voice Actor - Italian (AI Training) About the Role What if your voice could directly shape how AI understands and communicates with millions of Italian speakers around the world? We're looking for experienced Italian-speaking voice actors to record professional-grade audio and evaluate AI-generated speech - helping train next-generation AI systems to sound natural, expressive, and authentically human. This is a fully remote, flexible contract role built for working voice professionals. No AI background needed - just a commanding Italian voice, a professional setup, and a sharp ear for quality.
  • Organization : Alignerr
  • Type : Hourly Contract
  • Location : Remote
  • Note : This role does not involve voice cloning of any kind.
What You'll Do
  • Record clear, expressive Italian-language audio using a large diaphragm microphone (LDM), following provided scripts and prompts
  • Evaluate AI-generated Italian speech for naturalness, pronunciation accuracy, emotional tone, and overall quality
  • Provide detailed, actionable feedback to improve synthesized voice outputs
  • Review scripts and suggest adjustments to enhance clarity and ensure authentic, natural-sounding delivery
  • Work independently and asynchronously - fully on your own schedule
Who You Are
  • Experienced in voice acting, narration, audiobook recording, or related performance-based audio work
  • Native or near-native fluency in Italian with a strong command of natural spoken delivery
  • Owner of a high-quality large diaphragm microphone and access to a quiet, controlled recording environment
  • Able to deliver engaging, expressive, and well-articulated vocal performances across a range of styles and tones
  • Naturally detail-oriented when evaluating tone, clarity, pacing, and pronunciation
Nice to Have
  • Experience recording for broadcast, e-learning, video games, or commercial projects
  • Familiarity with audio editing software or DAWs
  • Awareness of regional Italian dialects or accent variations
  • Prior exposure to AI voice evaluation or speech annotation workflows
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs and top-tier organizations
  • Fully remote and flexible - record and review on your own schedule, from your own studio
  • Freelance autonomy with the structure of meaningful, task-based work
  • Your voice directly contributes to AI systems used by leading research institutions and Fortune 500 companies
  • Gain firsthand exposure to state-of-the-art AI speech and language model development
  • Potential for ongoing work and contract extension as new projects launch