Remote, USA * Hours: 40 hours per week * Employment Type: W2 Full-Time Employee * Pay Rate: $28.80 ... Experience with data annotation, content evaluation, labeling operations, or quality review ...
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Remote Facebook Content Review information
See salary details
$12.98 - $16.85
2% of jobs
$16.85 - $20.72
15% of jobs
$22.24 is the 25th percentile. Wages below this are outliers.
$20.72 - $24.58
20% of jobs
The median wage is $27.49 / hr.
$24.58 - $28.45
17% of jobs
$28.45 - $32.32
13% of jobs
$34.39 is the 75th percentile. Wages above this are outliers.
$32.32 - $36.19
15% of jobs
$36.19 - $40.06
9% of jobs
$40.06 - $43.92
4% of jobs
$43.92 - $47.79
3% of jobs
$47.79 - $51.66
1% of jobs
$51.66 - $55.53
1% of jobs
$12
$31
$55
How much do remote facebook content review jobs pay per hour?
What is the difference between Remote Facebook Content Review vs Remote Facebook Content Moderator?
| Aspect | Remote Facebook Content Review | Remote Facebook Content Moderator |
|---|---|---|
| Primary Role | Assess and evaluate content for policy compliance | Monitor and remove inappropriate content |
| Required Skills | Attention to detail, understanding of policies | Same as Content Review, plus quick decision-making |
| Work Environment | Remote, flexible hours | Remote, often shift-based |
| Industry Usage | Commonly used in social media moderation teams | Widely used in content moderation departments |
Both roles involve evaluating content on Facebook, but Content Review focuses on assessing content for policy compliance, while Content Moderators actively monitor and remove inappropriate posts. They share similar skills and work environments, with slight differences in daily tasks and shift structures.

$28.80/hr
Full-time
Posted 28 days ago
Job description
We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.
Project Details
- Job Title: Creative Writing Generative AI Analyst
- Location: Remote, USA
- Hours: 40 hours per week
- Employment Type: W2 Full-Time Employee
- Pay Rate: $28.80/hour
What You'll Do
- Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
- Create, review, and evaluate prompts and responses across a variety of domains and use cases
- Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
- Assist in developing and refining annotation guidelines and evaluation criteria
- Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
- Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
- Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
- Provide feedback on workflows, tooling, and annotation processes
Requirements:
- Native level proficiency English with excellent written and verbal communication skills.
- Work Authorization is required for the role.
- Strong attention to detail and ability to follow complex annotation guidelines
- Interest in creative writing, generative AI, machine learning, and emerging AI technologies
- Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
- Bachelor's degree or equivalent practical experience
Ways to Stand Out from the Crowd
- Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
- Domain knowledge in Law/Medical/Math/Coding/etc is a plus
- Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
- Experience annotating prompts, responses, images, video sequences, or other AI training data
- QA/testing experience within AI, data operations, or content review environments
- Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
- Python or scripting experience is a plus
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.