AI Data Annotator - Voice and Text

Modis; Dearborn (MI); In loco; USD 41.000 - 52.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

Dental Insurance

Vision Insurance

401K Plan

Paid Leave

Descrizione del lavoro

Modis is seeking an AI Data Annotator in Dearborn, MI on a contract basis to label conversational AI data, including text and audio, to improve chatbot responses.

The ideal candidate has experience labeling conversational AI data and is fluent in English, with automotive industry experience preferred. The role offers $30–$38 per hour, negotiable based on experience and location.

Competenze

• Experience labeling conversational AI data, including text and audio.
• Fluent English with strong reading and writing skills.
• Ability to follow detailed labeling guidelines and decision rules.

Mansioni

• Improve chatbot quality by labeling conversations and evaluating AI responses.
• Apply labeling guidelines, taxonomies and decision rules in assigned tasks.
• Provide weekly reports on labeling volume, quality, backlog and risks.

Conoscenze

Data Annotation

Analytical Thinking

Communication

Formazione

Bachelor's Degree

Master's Degree

Descrizione del lavoro

Modis is seeking a AI Data Annotator for a Contract job with a client in Dearborn, MI. \"The ideal candidate should have experience in labeling conversational AI data, including text and audio. Prior experience in the automotive industry is preferred.

Rate Range: $30/hour to $38/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Position Description:

Data Annotator Improve the quality of the chatbot responses by creating a feedback loop where AI responses are judged by humans. Review chatbot conversations and related artifacts including individual turns, model responses, retrieved content, citations, and metadata within approved tools. Apply approved labeling guidelines, taxonomies, and decision rules, completing all required labels, rationales, confidence assessments, and ambiguity indicators. Evaluate chatbot performance across dimensions defined, including intent, task completion, correctness, completeness, relevance, grounded Ness, source attribution, response quality, safety, policy compliance, escalation need, and failure category. Identify and elevate content that is ambiguous, sensitive, safety-relevant, outside the current guidelines, or requires subject-matter-expert review. Labelers must not infer or create standards where approved guidance does not exist. Participate in onboarding, calibration, refresher training, quality reviews, and adjudication sessions to maintain consistent labeling decisions. Conduct first-level quality checks on assigned work and correct errors identified through supplier quality reviews. Maintain complete and accurate records of completed annotations, quality results, exceptions, escalations, and open issues in designated systems. Provide weekly reports summarizing completed volume, productivity, quality results, backlog, open questions, risks, guideline gaps, and required actions. Recommend and document improvements to the annotation guidelines and taxonomy based on recurring ambiguities, labeling patterns, and adjudication outcomes. Changes may be implemented only after approval.

Skills Required:

• Analytical, Communication, Data Annotation - Voice and Text

Experience Required:

• Experience labeling conversational AI data, including text and audio.


• Prior experience in the automotive industry is preferred. Professional fluency in English, with strong reading comprehension and written communication skills.


• Demonstrated ability to interpret and consistently apply detailed guidelines, taxonomies, and decision rules.


• Strong analytical judgment and attention to detail, including the ability to identify factual errors, incomplete responses, unsupported claims, policy concerns, and ambiguous cases.


• Ability to document labeling decisions and provide clear, concise rationales. Ability to work accurately on repetitive tasks while meeting quality, productivity, and turnaround expectations.


• Ability to participate in calibration sessions, incorporate feedback, and adjust decisions as guidelines evolve.


• Ability to prepare clear weekly reports summarizing labeling volume, productivity, quality results, progress, and open issues.

Experience Preferred:

Amazon, Google or Apple or Scale AI

Education Required:

Bachelor's Degree

Education Preferred:

Masters

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Website Privacy Policy | Modis.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act


• Los Angeles City Fair Chance Ordinance


• Los Angeles County Fair Chance Ordinance for Employers