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Entry Level Data Labeling Analyst information

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$13

$33

$62

How much do entry level data labeling analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level data labeling analyst in Paramus, NJ is $33.32, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $37.21 per hour, depending on experience, location, and employer.

What are some typical daily tasks for an Entry Level Data Labeling Analyst, and how do they contribute to larger projects?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an Entry Level Data Labeling Analyst, and why are they important?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What are Entry Level Data Labeling Analysts?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.
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Entry Level Data Labeling Analyst jobs near you
Arabic Data Labeling Analyst(Speech & Voice )

Arabic Data Labeling Analyst(Speech & Voice )

Welocalize

Manhattan, NY • On-site

Full-time

Posted 25 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

330th of 487 rated business services

Job description

Job Summary:
Welocalize is looking for detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on building datasets that power real-world AI systems through data labeling and annotation tasks.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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