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Audio Annotation Jobs in Maryland (NOW HIRING)

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Audio Annotation information

What are the key skills and qualifications needed to thrive as an Audio Annotator, and why are they important?

To thrive as an Audio Annotator, you need strong attention to detail, excellent listening skills, and familiarity with linguistic concepts, often supported by relevant coursework or experience in linguistics or audio processing. Proficiency in annotation tools such as ELAN, Audacity, or Praat, as well as experience with data labeling platforms, is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this role. These skills ensure accurate and consistent audio data labeling, which is essential for training reliable AI and speech recognition systems.

What are some common challenges faced by audio annotators, and how can they be managed effectively?

Audio annotators often encounter challenges such as distinguishing overlapping voices, dealing with low-quality recordings, and maintaining consistency in labeling. To manage these, it's important to use high-quality headphones, familiarize yourself with annotation guidelines, and communicate regularly with your team to resolve ambiguities. Many organizations also provide regular feedback sessions and quality checks to ensure accuracy and support continuous improvement.

What jobs make $3,000 a month without a degree?

Audio annotation jobs can pay around $3,000 per month for experienced workers, especially those working full-time or on high-volume projects. These roles typically require strong attention to detail, familiarity with audio editing tools, and the ability to work independently, often without formal degrees. Compensation varies based on experience, workload, and the platform or employer.

What is the salary of audio annotation?

The salary for audio annotation jobs typically ranges from $10 to $20 per hour, depending on experience, location, and the complexity of the tasks. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail.

How to become an AI annotator?

To become an AI annotator, you typically need strong attention to detail, good listening skills, and basic computer proficiency. Many roles require familiarity with annotation tools and sometimes a high school diploma or equivalent. Gaining experience through online training or tutorials can improve your chances of securing a position in this field.

What is audio annotation?

Audio annotation is the process of labeling or tagging audio data with relevant information, such as identifying sounds, speech, speakers, or background noises. This process helps train machine learning models to recognize and understand audio content. Audio annotation can involve tasks like transcribing speech, marking segments with specific sounds, or categorizing audio clips by genre or emotion. It is widely used in developing applications for speech recognition, virtual assistants, and audio analysis.

What is an audio annotation job?

An audio annotation job involves listening to audio recordings and labeling or transcribing specific sounds, speech, or events to create datasets used for training machine learning models. Workers typically use specialized tools and need good listening skills, attention to detail, and sometimes basic knowledge of audio editing or annotation software.
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What cities in Maryland are hiring for Audio Annotation jobs? Cities in Maryland with the most Audio Annotation job openings:
Audio Annotation jobs near you
Infographic showing various Audio Annotation job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 48% Full Time, 47% Part Time, 3% Contract, and 1% Nights. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
ME00579-Data Scientist 3

ME00579-Data Scientist 3

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$135K - $180K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 28 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support a Natural Language Processing (NLP) project focused on developing automated solutions to process, analyze, and annotate language data derived from both spoken and written sources
  • This role involves building and improving models that tokenize language data, assign linguistic features such as parts of speech, and evaluate model performance against human-generated annotations to ensure accuracy and reliability

Primary Responsibilities
  • Develop and implement NLP models and algorithms to tokenize and process spoken and written language data
  • Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features
  • Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly
  • Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy
  • Support development of training datasets and annotation frameworks to enhance model performance
  • Collaborate with cross-functional teams to align NLP solutions with mission and data requirements
  • Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling
  • Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement
  • Stay current with advancements in NLP, machine learning, and language modeling techniques

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's Degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) techniques and tools
  • Proficiency in Python and common NLP/data science libraries (e.g., NLTK, spaCy, scikit-learn)
  • Experience with text and speech data processing, including tokenization and annotation
  • Ability to evaluate model performance using quantitative metrics and comparison methods
  • Strong analytical and problem-solving skills

Desired Qualifications
  • Experience working with annotated language datasets and linguistic frameworks
  • Familiarity with machine learning or deep learning models for NLP
  • Experience with speech processing or audio data analysis
  • Knowledge of model evaluation techniques and performance benchmarking
  • Experience working in mission-driven or government environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)

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