This role required to work remotely in part-time basis. Client Overview Our client is one of the ... As part of its continued expansion in generative AI and multilingual data development, the company ...
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This role required to work remotely in part-time basis. Client Overview Our client is one of the ... As part of its continued expansion in generative AI and multilingual data development, the company ...
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Part-Time Clinical Research Assistant B
Philadelphia, PA · On-site
$19.47 - $22/hr
Additional projects will provide annotation on clinical details and therapy outcomes to correlate ... Collect data (physiological, paper and pencil measures, dietary recalls, and computerized ...
Part-Time Clinical Research Assistant B
Philadelphia, PA · On-site
$19.47 - $22/hr
Additional projects will provide annotation on clinical details and therapy outcomes to correlate ... Collect data (physiological, paper and pencil measures, dietary recalls, and computerized ...
$12.50/hr
... for Part-Time Research Associate for Summer 2025. Job duties to include: * Participate in ... annotation, refined search methods, data analysis and display, and support writing towards ...
$12.50/hr
... for Part-Time Research Associate for Summer 2025. Job duties to include: * Participate in ... annotation, refined search methods, data analysis and display, and support writing towards ...
Summer Research Associate
University Park, PA · On-site
$12.50/hr
... for Part-Time Research Associate for Summer 2025. Job duties to include: * Participate in ... annotation, refined search methods, data analysis and display, and support writing towards ...
Summer Research Associate
University Park, PA · On-site
$12.50/hr
... for Part-Time Research Associate for Summer 2025. Job duties to include: * Participate in ... annotation, refined search methods, data analysis and display, and support writing towards ...
Data Annotation Part Time information
What are some common challenges faced by part-time data annotation professionals, and how can they be managed?
Part-time data annotation professionals often encounter challenges such as repetitive tasks, maintaining concentration over extended periods, and understanding nuanced annotation guidelines. To manage these challenges, it's helpful to take regular short breaks, stay organized with clear labeling conventions, and communicate proactively with team leads or project managers when questions arise. Many teams also provide regular training updates and feedback sessions, which support continuous improvement and help annotators stay aligned with project requirements.
Can you do data annotation part-time?
Yes, data annotation roles are often available on a part-time basis, allowing flexible schedules for individuals with basic computer skills and attention to detail. Many companies offer remote part-time positions that require minimal prior experience and can be suitable for students or those seeking supplemental income.
What are the key skills and qualifications needed to thrive as a Data Annotation Part Time worker, and why are they important?
To thrive as a Data Annotation Part Time worker, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet software is typically required. Reliability, focus, and the ability to follow guidelines precisely are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which is crucial for training effective AI and machine learning models.
Is it hard to get hired for data annotation?
Getting hired for a part-time data annotation role generally depends on the applicant's attention to detail, ability to follow instructions, and basic computer skills. Many companies require no formal experience, but familiarity with annotation tools and good communication can improve chances. The hiring process is often straightforward and may involve a simple test or sample annotation task.
What are Data Annotation Part Time jobs?
Data annotation part time jobs involve labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. This work can include identifying objects in photos, transcribing audio, or categorizing content. Part time positions offer flexible hours and may be remote, making them a popular choice for students or those looking to supplement their income. Attention to detail and the ability to follow guidelines are important skills for these roles.
Does data annotation actually pay?
Data annotation jobs typically pay hourly or per task rates, with wages varying depending on the platform, complexity of the work, and experience level. Many part-time data annotation roles offer minimum wage or slightly above, and some platforms provide flexible schedules for remote work. Payment is generally reliable if working through reputable companies or platforms that process payments regularly.
Can I do data annotation with no experience?
Data annotation roles often do not require prior experience, as training is typically provided. Basic skills such as attention to detail and familiarity with computers are sufficient to start, and some positions may require completing a short onboarding or training process before beginning work.
What is the difference between Data Annotation Part Time vs Data Labeling Specialist?
| Aspect | Data Annotation Part Time | Data Labeling Specialist |
|---|---|---|
| Credentials | High school diploma or equivalent; basic computer skills | High school diploma; attention to detail |
| Work Environment | Remote or office-based; flexible hours | Remote or office; often project-based |
| Industry Usage | AI, machine learning, data processing | AI, machine learning, data processing |
| Job Focus | Annotating data for training AI models | Labeling data to improve model accuracy |
Data Annotation Part Time and Data Labeling Specialist roles are similar, focusing on preparing data for AI training. The main difference lies in terminology; 'Data Annotation' emphasizes the process, while 'Data Labeling' refers to the task. Both roles typically require similar skills and work environments, making them interchangeable in many contexts.
What are the most commonly searched types of Data Annotation jobs in Pennsylvania? The most popular types of Data Annotation jobs in Pennsylvania are:
What are popular job titles related to Data Annotation Part Time jobs in Pennsylvania? For Data Annotation Part Time jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Annotation Part Time jobs in Pennsylvania look for? The top searched job categories for Data Annotation Part Time jobs in Pennsylvania are:
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Job description
This role required to work remotely in part-time basis.
Client Overview
Our client is one of the world's fastest-growing artificial intelligence companies, partnering with leading AI research laboratories and global enterprises to accelerate the development and deployment of advanced AI systems. The organization specializes in improving frontier AI capabilities across reasoning, coding, multilingual understanding, multimodal intelligence, STEM, and domain-specific knowledge while simultaneously building enterprise-grade AI solutions for mission-critical business challenges.
As part of its continued expansion in generative AI and multilingual data development, the company collaborates with a global network of professional language experts, voice talents, and domain specialists to improve AI speech recognition, natural language understanding, and voice generation capabilities. Through flexible remote collaboration models, contributors participate in cutting-edge AI initiatives that shape the next generation of intelligent voice technologies.
Job Role
The Audio Annotation Trainer – English (US) is responsible for recording, reviewing, and delivering high-quality American English voice data used to train and improve advanced AI speech models. This project-based role requires professionals with strong voice acting abilities who can accurately convey a wide range of emotions, tones, and speaking styles while following detailed recording guidelines. Working remotely, you will collaborate with AI development teams by producing professional-quality audio recordings that enhance conversational AI, speech recognition, and multilingual voice technologies.
Key Responsibilities
- Record professional-quality English (US) voice-over audio from a home studio or approved recording environment.
- Perform scripts with accurate pronunciation, emotional expression, pacing, and vocal consistency.
- Interpret recording instructions and adapt voice delivery based on creative direction and project requirements.
- Revise recordings based on reviewer feedback to meet project quality standards.
- Deliver completed audio files in the required format within project deadlines.
- Ensure recordings meet technical quality standards with minimal background noise and clear audio output.
- Support AI model development by producing accurate, high-quality voice datasets for speech recognition and language models.
- Maintain confidentiality and comply with project documentation and quality assurance requirements.
Candidate Requirements
- Currently residing in the United States.
- Previous professional experience in voice acting, voice-over production, audio narration, or related performance work.
- Strong vocal control, articulation, emotional expression, and voice versatility.
- Native or near-native proficiency in English (US) with clear pronunciation.
- Access to professional or high-quality recording equipment suitable for remote recording.
- Ability to follow detailed recording guidelines and incorporate feedback effectively.
- Strong time management skills with the ability to meet project deadlines independently.
- Experience with dubbing, ADR (Automated Dialogue Replacement), localization, or voice localization projects is highly preferred.
- Demo reel showcasing different voice styles and performance capabilities is highly preferred.
- Background in acting, performing arts, theater, broadcasting, or related creative fields is an advantage.
- Familiarity with audio editing software and basic audio production workflows is preferred.