Mercor
MercorVerified listing
Remote

Consumer Lifestyle Specialist - Remote Part-Time

50–75/hr
Remote
Posted September 16, 2026
part-time
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Listing checked September 16, 2026 · pay as published by Mercor

Overview

Mercor keeps this listing open for people with deep consumer and lifestyle knowledge who want to shape how AI models handle everyday recommendations. Research teams behind major models rely on that judgment because a model can generate text but cannot know whether a product exists, fits a budget, or matches local customs. You might write realistic consumer questions with context and constraints, then supply reference answers that model outputs get graded against. The pool covers categories from sports and fitness to film, gaming, food, travel, fashion, consumer electronics, and home life. Work is remote and part-time, and projects set their own rate and schedule.

What You'll Do8

  • 1Write realistic consumer questions from your category, including context, constraints, and the reference answer a model must meet.
  • 2Grade model recommendations for accuracy, practicality, and safety. Check that products exist, advice matches budget and setting, and cultural details are correct.
  • 3Identify answers that sound confident but could mislead someone because of price, availability, season, or local norms.
  • 4Flag unclear instructions or ambiguous task details before they affect evaluation.
  • 5Apply professional or practical consumer category knowledge to define quality standards.
  • 6Compare model outputs against current market realities and real-world constraints.
  • 7Document reasoning in clear writing so project teams can review your judgments.
  • 8Match evaluations to the specific client project scope and depth.

Requirements7

  • 1Professional or deep practical experience in at least one consumer or lifestyle category.
  • 2Strong written communication for explaining judgments and reasoning.
  • 3Comfort with ambiguous tasks and incomplete instructions.
  • 4Ability to flag unclear instructions rather than guess.
  • 5Knowledge of current products, services, prices, availability, seasonality, or local customs in your category.
  • 6Capacity to work part-time on project-based schedules that start on short notice.
  • 7Willingness to confirm your work location during application.

Who Should Apply

Apply if you have worked in or studied a consumer category long enough to judge products, advice, and cultural details with authority. The role suits specialists in sports, gaming, consumer electronics, or home life who can write precise reasoning and handle open-ended tasks. Candidates who need a fixed schedule, a single defined project, or clear step-by-step instructions will find this pool a poor fit. Many applicants lose fit score by listing broad lifestyle interest instead of a named category with evidence, or by sending a resume that does not show hands-on evaluation, writing, or subject matter depth. The listing itself does not accept or reject you, so a strong domain profile and completed interviews are what drive a match.

Salary Insight

Projects in this pool have posted at $50 to $75 per hour. That range sits above many standard data annotation rates and matches specialist evaluation work where domain judgment carries the project. Project scope and depth decide the exact rate, so a narrow or technical category may land at a different point in the range.

Pay and demand for Machine Learning & AI roles

Aggregated

Typical pay

$75/hour

This role

$50–$75/hr

Most Machine Learning & AI roles pay $48–$100 per hour. This role's pay falls inside that range.

Based on 664 similar roles that publish pay · 132 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
783
Listed in last 30 days
518
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Hiring most right now: micro1 (250) · Mercor (119) · AfterQuery (98)

Most requested skills · share of roles

  • python
    16%
  • ai evaluation
    9%
  • data annotation
    9%
  • technical writing
    9%

Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

Compare your resume against these roles

Location

Typeremote
LocationRemote
This is a remote position

Compensation

$50–75/hr

Required Skills

ai trainingai evaluationmodel evaluationdata annotationrubric designreference answer writingconsumer researchquality assessmentsportsfitnesswellnessfilmtelevisionpop culturegamingesportsfoodbeveragetravelgeographyfashionpersonal styleshoppingretailconsumer electronicssmart homehome lifefamily life

Application Tip

Name your strongest consumer category in the first line of your resume or profile, then add two concrete examples of judgment calls you have made in that space, such as a product recommendation, a price comparison, or a cultural nuance review. That gives reviewers a clear match signal before the AI interview.

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Application & verification flow

  1. 1Instant rubric match

    Your resume is scanned against this role’s requirements to check qualification fit.

  2. 2Screened before the employer sees it

    Only profiles that clear screening are passed on.

  3. 3Outcome by email

    We notify you at the address on your resume once the screening is reviewed.

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