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Cyndril

Cyndril

Agency
CANADA flag
Calgary, Canada
$15.00/hrIntermediate2+

Key Skills

Software

AWS SageMakerAWS SageMaker
DataloopDataloop
EncordEncord
LabelboxLabelbox
Label StudioLabel Studio
SuperAnnotateSuperAnnotate
SuperviselySupervisely

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
TextText

Top Label Types

Classification
Evaluation Rating
Fine Tuning
Question Answering
Segmentation

Company Overview

We are a small, quality-first AI data labeling team focused on high-judgment annotation and evaluation work for LLMs. We produce gold-standard outputs such as reasoning traces / step-by-step solutions, preference pairs with written rationales, critique and corrected responses, and rubric-based grading for evaluation sets. Our work is designed for teams that care more about consistency and QA than raw throughput, especially when edge cases matter. We’re not a high-volume, low-cost crowd operation. We run tight guidelines, calibration, and multi-pass review to keep labels consistent across annotators and over time. Best fit use cases include creating trusted ground truth, improving model behavior on tricky cases, and building reliable eval sets for iteration and regression testing.

IntermediateEnglish

Security

Security Overview

We take client data security seriously and use a controlled-access, least-privilege approach for all projects. Access to client data is restricted to the minimum number of team members required, granted only for the duration of the project, and removed immediately after completion. All team members sign NDAs and follow documented data-handling rules (no personal copies, no sharing outside approved systems, and no use of client data for any purpose other than the project). Client data is stored and transferred using secure methods (encrypted cloud storage and HTTPS/TLS). Work is performed on managed workstations with up-to-date OS patches, antivirus/anti-malware, and host firewalls enabled. We limit data movement by using client-provided tools/workspaces when possible (e.g., Labelbox/Label Studio/Drive/VPC environments), and we keep project folders permissioned and segregated. We also support secure deletion/return of client data at project end and can provide confirmation on request.

Labeling Experience

No Data Labeling experience added

Usman C. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.