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Netflix Review Jobs (NOW HIRING)

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 ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Oversee production phases by reviewing material boards, visiting fabrication vendors, and providing ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Be a day-to-day technical resource for junior engineers through design pairing, code review, and ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Build monthly, quarterly review decks for senior consumption to run the business. * Lead ...

OR

$388K - $619K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Be a day-to-day technical resource for junior engineers through design pairing, code review, and ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Be a day-to-day technical resource for junior engineers through design pairing, code review, and ...

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Netflix Review information

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$5

$33

$100

How much do netflix review jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for netflix review in the United States is $33.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Netflix Review position, and why are they important?

To excel as a Netflix Reviewer, you need excellent analytical abilities, strong writing skills, and a deep understanding of film and television critique, often supported by a background in journalism, media studies, or communications. Familiarity with content management systems (CMS), video streaming platforms, and industry-standard research tools is typically required. Attention to detail, deadline management, and the ability to communicate insights objectively make candidates stand out. These capabilities are essential because the role demands accurate, engaging, and timely content that informs both audiences and editorial teams.

Will Netflix pay you $45 an hour to watch movies?

Netflix review jobs that involve watching movies or TV shows typically do not pay $45 an hour; most such roles are part-time or freelance and offer lower compensation. Paid viewing jobs are rare and often involve specific tasks like content analysis or research, usually with pay rates below that amount. Always verify job postings for accurate pay details and requirements.

How to become a Netflix reviewer job?

To become a Netflix reviewer, candidates typically need strong analytical skills, a background in media or film studies, and the ability to provide detailed, objective reviews. Some roles may require familiarity with content guidelines and experience with writing or video production. Applying through Netflix's careers page or entertainment industry job boards is common for such positions.

What are some common challenges faced by Netflix Reviewers and how can they be addressed?

Netflix Reviewers often face tight deadlines and a high volume of content to assess, which can make it challenging to maintain both quality and originality in their work. Balancing subjective opinions with objective analysis is important, especially when crafting reviews for a diverse audience. Staying current with industry trends and frequently released new titles requires ongoing commitment and enthusiasm for entertainment media. Collaborating regularly with editors and other reviewers can help maintain consistent standards and foster professional growth within the team.

How much do Netflix reviewers get paid?

Netflix reviewers are typically paid hourly or per review, with compensation rates varying based on experience and location. Pay can range from around $10 to $20 per hour, and reviewers often work remotely, evaluating content according to company guidelines.

Are Netflix review jobs legit?

Netflix review jobs typically involve evaluating content for appropriateness and quality, often as part of content moderation or quality assurance teams. While some positions are legitimate, there are also scams that promise fake opportunities, so job seekers should verify listings through official Netflix channels or reputable job platforms. Genuine roles usually require relevant skills and may be remote or flexible in schedule.
More about Netflix Review jobs
What cities are hiring for Netflix Review jobs? Cities with the most Netflix Review job openings:
What are the most commonly searched types of Netflix Review jobs? The most popular types of Netflix Review jobs are:
What states have the most Netflix Review jobs? States with the most job openings for Netflix Review jobs include:
What job categories do people searching Netflix Review jobs look for? The top searched job categories for Netflix Review jobs are:
Infographic showing various Netflix Review job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 72% Full Time, 11% Part Time, 2% Contract, and 7% Summer. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $68,819 per year, or $33.1 per hour.
Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Netflix

Los Gatos, CA • On-site

$110/hr

Full-time, Internship

Medical, Life, Retirement, PTO

Posted 11 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

59th of 67 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Role
Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system.
During the internship, you will:
  • Explore GS model compression strategies using open datasets
  • Contribute to early thinking on additional dataset needs for representative scenes.
  • Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets
  • Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency
  • Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest

Who Are You?
  • Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with an expected graduation date in June 2027 or later.
  • Thrives working in complex, dynamic, and fast-moving environments.
  • Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.).
  • Successful track record in research of 3D/4D scene reconstruction, novel-view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision.
  • Solid understanding of machine learning and deep learning concepts, with hands-on experience training and evaluating ML models.
  • Able to program fluently in Python

Nice to Have:
  • Familiarity with real-time rendering and GPU programming (CUDA, WebGL, graphics pipelines).
  • Background in video compression, streaming systems, or codec standards such as HEVC and AV1.
  • Involvement in open-source multimedia or graphics projects.
  • Experience with large-scale distributed systems and cloud computing.

To learn more about our team, check out some of our tech blogs:
  • https://netflixtechblog.com/av1-now-powering-30-of-netflix-streaming-02f592242d80
  • https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b
  • https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c
  • https://netflixtechblog.com/toward-a-practical-perceptual-video-quality-metric-653f208b9652
  • https://netflixtechblog.com/per-title-encode-optimization-7e99442b62a2

Internships at Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to mimic what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
Internships are paid and are a minimum of 12 weeks,. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for Netflix Internships is typically $40/hour - $110/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
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 details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.

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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