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Netflix Reviewer Jobs (NOW HIRING)

Netflix

Creative Approvals Manager

Los Angeles, CA · On-site

Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... This role is responsible for managing creative & legal reviews and fostering relationships with our ...

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How much do netflix reviewer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for netflix reviewer in the United States is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $36.54 per hour, depending on experience, location, and employer.

What is a Netflix reviewer?

A Netflix Reviewer is responsible for watching and analyzing movies, TV shows, or other content on Netflix and providing reviews, summaries, or feedback. This role may involve writing critiques, rating content, or identifying trends for content recommendations. Some reviewers work independently as bloggers or influencers, while others may be employed by media companies or Netflix itself. It is not an officially advertised Netflix position but rather a general term for those who professionally review Netflix content.

Is a Netflix reviewer a legit job?

A Netflix reviewer is a real role that involves watching and evaluating content for quality, accuracy, or audience appeal. However, many positions advertised as such are freelance, part-time, or involve reviewing content for third-party companies rather than directly working for Netflix. It's important to verify the legitimacy of job postings and be cautious of scams.

How do I get a job as a Netflix reviewer?

To become a Netflix reviewer, you typically need strong writing and analytical skills, a good understanding of film and television, and the ability to provide clear, honest reviews. Some reviewers are freelancers or work for media outlets, so building a portfolio or blog can help demonstrate your expertise. Staying informed about industry trends and networking with entertainment professionals can also improve your chances.

What are the key skills and qualifications needed to thrive as a Netflix reviewer?

To thrive as a Netflix Reviewer, you need strong analytical skills, attention to detail, and excellent written communication, typically supported by a background in journalism, film studies, or media. Familiarity with multimedia review platforms, content management systems, and search engine optimization (SEO) tools is valuable. Creativity, adaptability, and meeting tight deadlines are important soft skills for this role. These competencies help produce engaging, insightful reviews that attract audiences and maintain professional credibility in a competitive media landscape.

What does a Netflix reviewer do?

A typical day for a Netflix Reviewer involves watching assigned Netflix shows or movies, taking comprehensive notes, and conducting background research on related topics or creators. Reviewers then craft detailed, engaging write-ups or video reviews that meet editorial guidelines and style requirements, often under tight deadlines. Collaboration with editors and other reviewers is common to ensure content accuracy and consistency. Some days may also include interacting with readers or viewers, staying up-to-date with industry trends, and attending media screenings or virtual events. This dynamic work environment is ideal for self-motivated individuals who thrive on consuming and critiquing a wide variety of media content.

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Netflix Reviewer jobs near you
Infographic showing various Netflix Reviewer job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, 5% Temporary, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $62,159 per year, or $29.9 per hour.

Research Engineer L5 - Machine Learning Efficiency

Netflix

Los Gatos, CA • On-site

$238K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Role
Fast-paced innovation in the theory and practice of large language models (LLMs) and other foundation models is greatly helping to advance state-of-the-art in personalization and discovery experiences. However, cost-effective and efficient training and serving of the models at Netflix's scale is a technical challenge. Hence we are looking for an exceptional applied research engineer to help us develop the technology that would enable efficient training and serving of these models.
In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists.
What we are looking for:
  • 5+ years of software engineering experience with a track record of delivering quality results.
  • Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
  • Strong problem-solving skills with knowledge of statistical methods.
  • Strong software development experience in languages such as Python and Java.
  • Deep understanding of TensorFlow and/or PyTorch.
  • Familiarity with hardware and software accelerators and GPU-based optimizations
  • Great interpersonal skills.
  • Strong communication skills - written and verbal.
  • Graduate degree in Computer Science, Statistics, or a related field.

Preferred, but not required, additional areas of experience:
  • Experience as a technical leader.
  • Experience working with cross-functional teams.
  • Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
  • Experience with Spark or other distributed computed platforms.
  • Experience with cloud computing platforms and large web-scale distributed systems.
  • Experience in applied research in industrial settings.
  • Open source contributions.
  • Research publications at peer-reviewed journals and conferences on relevant topics.

Links to some of our published work:
  • Synergistic Signals: Exploiting Co-Engagement and Semantic Links via GNN - Under review.
  • Lessons Learnt From Consolidating ML Models in a Large-Scale Recommendation System
  • Search Personalization at Netflix - PaRiS Workshop - WebConf 2023.
  • Augmenting Netflix Search with In-Session Adapted Recommendations - RecSys 2022
  • Query Facet Mapping and its Applications in Streaming Services - SIGIR 2022
  • Recommendations and Results Organization in Netflix Search - RecSys 2021
  • Challenges in Search on Streaming Services: Netflix Case Study - SIGIR 2019
  • Netflix Research site

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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