QA Analyst at Appen

Calabarzon, Philippines

Appen Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Part TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • Previous experience in quality assurance or content moderation is highly preferred
  • Proficient in English – reading, writing, speaking, and listening (B2 level or higher)
  • College graduate (those with relevant experience will be considered)
  • Willingness to work on-site with a flexible schedule at office locations in Imus or Bacoor, Cavite

Responsibilities

  • Review and compare new and old videos or images to spot similarities and differences, including visual and sound details
  • Clearly label video/image content with important details like timestamps, objects shown, and key changes or similarities
  • Make sure all annotations are accurate and consistent by following set guidelines and standards
  • Keep clear records of your work, including any issues or findings from the comparison process
  • Suggest ways to improve tools and processes based on your experience and insights from the tasks
  • Provide on-the-floor support, answer associate queries, and clarify quality-related concerns in real time
  • Publish and distribute daily QA performance reports to relevant stakeholders

Skills

Key technologies and capabilities for this role

QALLMQuality AssuranceRoot Cause AnalysisAI Model EvaluationData AnnotationAI Moderation

Questions & Answers

Common questions about this position

Is this a full-time position or project-based?

This is a project-based employment opportunity.

What experience is required for the QA Analyst role?

Previous experience in quality assurance or content moderation is highly preferred.

What language skills are needed for this position?

Proficiency in English is required.

What is the company culture like at Appen?

Appen has a learn-it-all culture that values perspective, growth, and innovation, while being customer-obsessed, action-oriented, and celebrating winning together. They are committed to creating an inclusive and diverse workplace as an equal opportunity employer.

What makes a strong candidate for this QA Analyst position?

Candidates with prior experience in quality assurance or content moderation, along with English proficiency, will stand out. Strong skills in annotation, data quality assurance, and attention to visual/audio details in videos and images are key.

Appen

Provides high-quality training data for AI

About Appen

Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.

Sydney, AustraliaHeadquarters
1996Year Founded
$358MTotal Funding
IPOCompany Stage
AI & Machine LearningIndustries
10,001+Employees

Benefits

Remote Work Options
Professional Development Budget
Flexible Work Hours

Risks

Increased competition from emerging data annotation startups threatens Appen's market share.
A major contract breach with Google highlights potential client relationship vulnerabilities.
Office closures in Toronto and Bellevue may impact operational capabilities and morale.

Differentiation

Appen specializes in high-quality training data for AI systems.
Appen offers multi-language database development for complex language technology needs.
Appen's Social Instinct platform moderates social media content in multiple languages.

Upsides

Appen raised $50 million to capitalize on generative AI opportunities.
Appen launched a solution for enterprises to customize large language models.
Appen recognized as a leader in data annotation by Everest Group in 2024.

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