招聘
Benefits & Perks
•Professional growth and development opportunities
Required Skills
Analytical thinking
Problem-solving
Qualitative analysis
Quantitative analysis
Communication
Portuguese
English
Global Operations at Meta focuses on improving product health and user experience through direct support interactions and scalable solutions. We achieve this by managing a broad vendor workforce, delivering customer-focused solutions, and driving accountability for outstanding operational performance. Those who join our teams are passionate about solving people's issues, advocating for the Meta community, and ensuring the best possible experience for our platforms.As a Quality Measurement Specialist, you will be responsible for reviewing various types of content according to our advertiser policies and community standards. This work is critical to deliver accurate measurement, AI oversight and insights on policy enforcement. You will collaborate with cross-functional teams in both Global Operations and across Meta to influence the development of policies, protocols, technology, and training. This work will directly impact the experience of Meta's global network of users and business partners, ensuring our platforms are safe and trustworthy and that our processes are accurate, effective and efficient.To succeed in this role, the successful candidate will possess analytical and problem-solving skills, along with effective collaboration skills. We are looking for a strategic thinker with excellent communication skills who embraces new challenges. Candidates should embrace ambiguity, demonstrate a growth mindset and the ability to work independently.In return, we offer the opportunity to work with a passionate team dedicated to solving user issues, influence policy development and scalable solutions, professional growth and development opportunities, and a collaborative and dynamic work environment.
Quality Measurement Specialist
Portuguese Responsibilities:
- Perform expert review of content and ads on Meta's platforms against ensuring compliance with our community standards and advertiser policies
- Gather and deliver market specific insights on Meta's platforms, developing tailored recommendations to improve Meta's Integrity outcomes
- Communicate market specific insights to cross-functional partners to collaborate and improve our policies, processes and tools
- This role may involve exposure to potentially graphic and/or objectionable content including but not limited to graphic images, videos, audio and writings, offensive or derogatory language, and other potential objectionable material, i.e. child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing
- Partner with vendor operations to ensure that feedback is being shared with relevant teams and proactively track the impact and success of remediation plans
- Develop and share subject matter expertise across areas of safety abuse and/or account support at global level
- Contribute to projects that increase the effectiveness and efficiency of the Quality Expert Review team
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelors/Masters degree or equivalent practical experience. Degree must be completed prior to joining Meta
- Fluency in written and conversational English and Portuguese are essential
- Ability to work with potentially graphic and objectionable content
- Proven analytical, creative problem-solving, and critical thinking skills
- Experience with qualitative and quantitative analysis and data-driven decision making
- Familiarity with KPI management, quality assurance and process optimization
- Self-starting, intellectually curious, and creative individual adept at operating in a fast-paced, ever-changing environment
- Demonstrable experience with qualitative and quantitative analysis
- Ability to communicate and collaborate successfully with partners from different functional areas
Preferred Qualifications:
- Familiarity and competency dealing with data, SQL, analytics, or dashboard building
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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