Our Approach to Annotation Services

With Human Intelligence

Humans-in-the-loop (HITL) annotation can bring human intelligence to machine learning models that have limited contextual knowledge. You will be guided through project set-up, workflow configuration, project management, worker training, and quality review by a highly qualified workforce and a specialized project management team.

Mission-Centric Service

Mission-Centric Service

AI/ML projects are the future tech investments to advance mankind’s well-being. That’s why we are passionate about it. Our data experts are committed to addressing AI issues.

Quality

Quality

Quality is built into our service by collaborating closely at every step of the process. We also build a classification ontology and annotation strategy to meet project requirements in the discovery phase.

Cost Efficient Annotation

Cost Efficient Annotation

We deliver thousands of annotations quickly and cost-effectively through a combination of annotator training, intuitive annotation workflows, and intelligent tools to increase annotation efficiency.

OUR PROCESS TO ANNOTATION SERVICES

Our services cover the entire machine-learning lifecycle. We are your data partner as you iterate and optimize your model. Our data annotation process starts with annotation optimization and then brings on experienced professionals for task design and deployment, annotation, and quality verification. Throughout the process, we continuously calibrate the project for quality improvement.

OUR PROCESS TO ANNOTATION SERVICES
  • Discovery
  • Deployment
  • QC Checks
  • Calibration

We start by analyzing your representative sample data and delivering a proof of concept based on your goals and requirements. Together, we set and optimize the annotation requirements, which will determine the number and types of annotations for each image, frame, or other data type. We will also structure the classification ontology to identify the appropriate object relationships.

After we determine the best segmentation types and ontology, we build out a few different annotation workflows for our annotators. We consult with our annotators and use A/B tests to determine the most intuitive way for our annotators to label objects to ensure annotation efficiency and accuracy.

Our solutions engineers design and deploy the final annotation task workflows. We combine human annotation with machine learning-augmented software platforms reducing annotation time by up to 90%. Our project managers ensure the delivery of batches of data meeting your time, budget, and quality requirements, for up to millions of data points.

Concurrently, we recruit the appropriate number of annotators for the project from our global and US-based workforce. We train and qualify annotators using ground truth annotations and enroll them in the project.

As annotators submit work, automated worker scoring is sent to our Quality Assurance team. We address quality issues as soon as they are found to prevent costly delays. Submitted work are reviewed, where clients can accept annotations or provide feedback.

With any machine learning project, we know that experimentation is required for the most accurate model outputs. As batches of labels—typically a hundred thousand at once—are delivered and fed into the model, we understand that data labeling requirements can change based on the model outputs. Our project managers are always ready to work with your annotation guidelines so that models hit quality requirements across different types of annotations and edge cases.

Our Workforce to Annotation Services Our Workforce to Annotation Services

Our workforce partner network, the Alegion Global Workforce, provides access to up to a million skilled annotation workers in the US and across the globe, supported by Alegion’s project managers, data engineers, and quality assurance teams. For each project, data engineers create and iterate upon your project’s annotation strategy and a dedicated project manager oversees the success of your project from start to finish.

Pre-trained Professional Annotators

Pre-trained Professional Annotators

Our workforce partners can recruit very specific talents. For complex annotation projects, we recruit annotators from IT and Computer Science academies. They are pre-trained in computer vision and natural language processing tasks. Workers are then trained to understand the specific nuances of each client project, and must qualify for each project based on high-accuracy threshold tasks.

Productivity on a Global Scale

Productivity on a Global Scale

Our workforce can scale up to over one million skilled data labeling specialists in the US and across the globe. We have workforce partners distributed across all continents. Project-specific requirements for languages, certifications, clearances, and subject matter expertise can all be sourced to meet your requirements. We work with annotation partners in the US and Europe for any federal and/or healthcare projects that require HIPAA, ITAR, EAR, GDPR, and SOC 2 compliance.

Reviewing Work for Guaranteed Quality

Reviewing Work for Guaranteed Quality

Throughout the annotation process, we constantly monitor and optimize annotator performance with QA best practices like ground truth and/or reviewer scoring. As annotations are submitted, clients can use Review Technology to review and accept the annotations. Through a combination of in-platform scoring, Alegion quality control, customer review, and continuous project calibration, our annotation workforce is prepared to deliver at the scale and quality that your project requires.

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