Project Coordinator (Annotation Project) at Appen

Calabarzon, Philippines

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Proven expertise in at least one specialization area, either Training or Quality Assurance
Advanced analytical skills with strong proficiency in Microsoft Office applications, particularly Excel
Excellent command of the English language, with fluency in reading, listening, and speaking
Ability to work independently while exercising sound judgment and accountability
Strong logical reasoning, keen attention to detail, and a proactive, results-driven work ethic
Willing to work on shifting schedules
Willing to be assigned in Imus or Bacoor City, Cavite

Responsibilities

Develop and implement structured training plans in alignment with customer-provided materials
Design and prepare training courseware, tools, and resources to ensure effective delivery
Facilitate training programs that drive stable performance and enhanced service quality
Establish and maintain comprehensive training documentation and adopt appropriate methodologies tailored to content and objectives
Contribute to the development and management of an internal trainer team
Formulate and oversee quality management approaches to address and mitigate project-related quality concerns
Collect, analyze, and report on quality performance data, providing actionable insights to support informed decision-making
Conduct issue analysis, implement corrective actions, and drive continuous improvement initiatives to reduce recurring quality issues
Support the development and management of an internal quality assurance team

Skills

Training Program Design

Quality Assurance

Project Coordination

Team Management

Performance Improvement

Data Annotation

AI Data Labeling

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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