Full-Time

Delivery Director

Posted on 11/15/2024

Appen

Appen

10,001+ employees

Provides high-quality training data for AI

AI & Machine Learning

Compensation Overview

$140k - $165kAnnually

Senior, Expert

Remote in USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Natural Language Processing (NLP)
Requirements
  • 5 years minimum senior management experience working in a metrics driven setting.
  • 5 years’ experience in a client facing role.
  • 10 years minimum experience managing teams and mentoring others, including hiring and managing fulltime and contract staff or consultants.
  • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Business Administration) is required. Advanced degree is a plus.
  • Proven track record of successfully delivering AI projects and datasets, with the ability to demonstrate deep SME of data creation, evaluation and annotation processes.
  • Understanding of natural language processing, machine learning, and deep learning techniques.
  • Experience with real-world AI applications or products.
  • Strong project management skills, including project planning, resource allocation, risk management, and problem-solving.
  • Excellent leadership abilities with experience in managing and developing high-performing teams.
  • Motivated self-starter that can establish a course of action for self and others and drive initiatives to completion.
  • Ability to identify problems and then analyze, evaluate the relevancy, discover solutions, make recommendations and drive resolution.
  • Demonstrated time management and organizational skills with attention to details.
  • Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders at all levels of the organization.
  • Results-driven mindset with a strong focus on delivering high-quality projects on time and within budget.
  • Demonstrated ability to adapt to a fast-paced and evolving environment, effectively managing multiple priorities simultaneously.
Responsibilities
  • Oversee end-to-end project delivery for Client Delivery Solutions, including but not limited to data creation, evaluation, and annotation projects, ensuring adherence to project timelines, budget, and quality standards.
  • Establish, execute, and adjust delivery strategies in a fast-paced and continuously evolving business environment.
  • Oversee project goals, objectives, and deliverables in collaboration with stakeholders.
  • Lead a team of delivery professionals, providing guidance, mentorship, and support to ensure successful project completion.
  • Regularly communicate updates and status reports to executive management and relevant stakeholders.
  • Collaborate closely with corporate functions, including Sales, Solutions, Engineering, Crowd Ops, and Product, to align objectives and direction with the delivery strategy, and to drive changes to support evolving delivery needs.
  • Establish effective communication channels and foster strong relationships with cross-functional teams, ensuring seamless coordination and cooperation.
  • Work closely with stakeholders to understand requirements, provide project updates, and address any concerns or challenges that may arise.
  • Identify opportunities for process improvements and drive initiatives to enhance project efficiency and effectiveness.
  • Oversee the development and implementation of quality assurance processes and procedures for AI projects and datasets, relying on your deep subject-matter expertise in the field.
  • Monitor and evaluate data quality, implement quality control measures, and continuously improve quality related processes.
  • Build and lead a high-performing delivery team, fostering a culture of collaboration, innovation, and continuous learning.
  • Recruit, train, and mentor staff, providing guidance and professional development opportunities to enhance their skills and capabilities.
  • Conduct regular performance evaluations, set performance goals, and provide constructive feedback to ensure individual and team growth.
  • Foster a positive and inclusive work environment, promoting diversity and equal opportunity.

Appen provides high-quality training data essential for developing artificial intelligence (AI) systems by collecting and labeling various types of data, including images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million flexible contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its extensive global reach and focus on providing reliable data for technology companies. The goal is to support organizations in deploying effective AI systems by supplying the necessary training data.

Company Stage

IPO

Total Funding

$358M

Headquarters

Sydney, Australia

Founded

1996

Growth & Insights
Headcount

6 month growth

-18%

1 year growth

-18%

2 year growth

-18%
Simplify Jobs

Simplify's Take

What believers are saying

  • Appen's partnerships with major tech companies like Google and AWS highlight its critical role in the AI ecosystem and potential for sustained growth.
  • The launch of solutions for customizing large language models (LLMs) positions Appen at the forefront of AI innovation.
  • Cost-cutting measures and strategic leadership changes could improve operational efficiency and profitability.

What critics are saying

  • The unexpected breach of a contract with Google could impact Appen's reputation and financial stability.
  • Frequent leadership changes, including the recent CEO resignation, may lead to strategic instability and affect employee morale.

What makes Appen unique

  • Appen's extensive network of over 1 million flexible contractors allows it to scale data annotation projects rapidly, a capability that many competitors lack.
  • The company's focus on high-quality, human-annotated datasets ensures superior training data for AI models, setting it apart from automated data labeling solutions.
  • Recognition as a leader in Everest Group's Data Annotation and Labeling Solutions for AI/ML PEAK Matrix Assessment 2024 underscores Appen's industry leadership.

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