AI Data QA & Training Specialist

SupportNinja; United States; On-site; USD 55,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Remote work flexibility

Paid time off

Job summary

United States Digital Space LLC is seeking an AI Data QA & Training Specialist to review, label and document interactions for AI model training. You will identify inaccuracies, assist with content evaluation and provide feedback to improve models.

The role emphasizes strong communication, CRM usage, and collaboration with engineering and operations, with full-time remote work possible for qualified candidates.

Qualifications

• Customer service experience or related support background.
• Experience with data annotation, AI training or evaluation skills.
• Strong written and verbal communication abilities.
• Familiarity with CRM systems and basic computer tools.

Responsibilities

• Review, evaluate and document interactions for AI model training.
• Identify inaccuracies, hallucinations and safety issues in content.
• Label content and provide feedback for model improvement.
• Collaborate with operations and engineering teams as needed.
• Respond to inquiries via phone, email or chat professionally.
• Maintain CRM documentation of AI-related evaluations.

Skills

Customer service

Data annotation

AI training

Communication

Computer skills

CRM knowledge

Tools

CRM software

Job description

Work Setup:Remote - PhilippinesEmployment Type:Full time employmentEquipment Details:Bring Your Own Device (BYOD)

The AI Data QA & Training Specialist is responsible for supporting AI model training activities by reviewing, evaluating and documenting interactions in a timely and professional manner.

What does a day in the life as an AI Data QA & Training Specialist look like?

• Evaluate, review, and label content or system responses for quality, accuracy, relevance, and adherence to guidelines, as required
• Assist with tasks such as content evaluation, response rewriting, summarization, classification, or prompt review as part of AI training initiatives
• Identify and flag hallucinations, factual inaccuracies, and safety/compliance violations
• Perform relevance, ranking, and retrieval quality assessments
• Score outputs against established standards and provide systematic feedback
• Support feedback loops between operations and engineering teams
• Respond promptly and professionally to inquiries via phone, email, or chat as needed
• Provide accurate information about products and services
• Follow-up and resolve issues in a timely and efficient manner
• Properly and accurately document AI-related evaluations or annotations in the organization’s CRM or designated tools
• Adhere to company policies and procedures
• Meet or exceed performance targets for related KPIs
• Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules
• Collaborate with other departments as needed
• Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times
• Perform other duties as assigned

What are the required qualifications of an AI Data QA & Training Specialist?

• Previous customer service experience, data annotation or AI training/evaluation skills or equivalent
• Good communication skills, both verbal and written
• Proficient in using computers and various software applications
• Knowledge and experience with a CRM preferred

Ninja Perks and BenefitsFull-time employees

• Competitive compensation
• Adherence to government-mandated benefits
• Retirement Savings Program with Company Matching
• Life Insurance
• HMO on day 1
• Paid time off, birthday leave
• Bonus and incentive plans
• Opportunities for skills training and personal and professional development
• Employee Referral Program
• Beautiful office space (for onsite employees)
• Free lunch provided daily (for onsite employees)

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Disclaimer:The duties and responsibilities listed above describe the post as it is in general terms and are not definitive. The post holder is expected to accept any reasonable alterations that may from time to time be necessary.

the company is proud to be an Equal Employment Opportunity employer and we do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, disability, or other applicable legally protected characteristics under federal, state, or local law.