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Updated on Jun 4, 2025

Dataforce by TransPerfect Review and Top 3 Alternatives

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Our readers interested in Dataforce usually fall under the following two categories; click on yours to see relevant information:

  • Dataforce contributors (Workers): These are workers who work or wish to work for Dataforce but want to evaluate the company and consider its alternatives. If you are a worker, click here.
  • Customers (i.e., Buyers): These businesses are interested in Dataforce’s services but want to analyze the company and consider its alternatives. If you are a customer or buyer, click here.

See an in-depth review of Dataforce by TransPerfect, which compares Dataforce with its top 3 alternatives.

Top 3 Dataforce alternatives (for contributors)

This section compares the top 3 alternatives of Dataforce based on criteria that are useful for workers or contributors.

Table 1. Alternatives comparison (for contributors)

Updated at 06-04-2025
CompaniesWorker Ratings
(Out of 5)*
Payment
Schedule**
Clickworker4.4Weekly
Appen1.3Weekly
Amazon Mechanical Turk2Weekly
Dataforce by TransPerfect2.9Flexible

* Data for this criterion was gathered from Trustpilot since it has only worker reviews.

** A flexible payment schedule depends on the project.

Notes
  • The companies are ranked based on the number of reviews.
  • The table was created from publicly available and verifiable data.
  • Criteria for a number of reviews:
    • Low: ≤ 50
    • Medium: 51- 999
    • High: ≥ 1000

Top 3 Dataforce alternatives (for customers)

This section compares the alternatives based on criteria applicable to current or potential customers of Dataforce.

Table 2. Alternatives comparison (for customers)

Updated at 06-04-2025
CompaniesUser ratings
out of 5 (Avg)*
Mobile
Application
ISO 27001
Certification
Code of
Conduct
Clickworker4.1
Appen4.2
Amazon
Mechanical
Turk
4
DataForce by
TransPerfect
3.8

* Data for this criterion was gathered from B2B review platforms like G2, TrustRadius, and Capterra.

Notes
  • The companies are ranked based on the number of reviews.
  • The table was created from publicly available and verifiable data.
  • We consider a company to follow a code of conduct if it has a code of conduct page explaining its practices.

Dataforce review

Operating under the parent company TransPerfect and headquartered in New York, Dataforce offers companies and AI developers various AI services through a crowdsourcing model. With its global community of over 1.3 million data contributors, Dataforce offers (As mentioned on its website):

  • Worldwide data collection for AI training
  • Data annotation
  • Data Transcription
  • Chatbot Localization
  • Conduct user studies
  • Generative AI training.

Pricing

Dataforce does not offer any information regarding its pricing; however, you can contact its team via its website to get custom quotes.

Pros and cons of Dataforce

This section discusses some pros and cons of working with Dataforce that can help potential customers evaluate its performance. We use data from B2B review platforms like G2, TrustRadius, and Capterra, as well as data gathered from our analysis of Dataforce and its alternatives.

  • It is important to offer secure data collection solutions. Dataforce has an ISO 27001 certification.
  • While a customer liked Dataforce’s data collection service and its customer support, it found its service more expensive than its competitor’s. The customer also faced lagging issues with Dataforce’s platform.1
  • Another customer found Dataforce’s pricing for dataset preparation higher than its alternatives.2
  • We only found 2 customer reviews for Dataforce, which is a small number as compared to reviews of its alternatives. Future customers might find it difficult to evaluate Dataforce’s services due to the lack of reviews. Reliable AI services have extensive customer reviews on different aspects of the company.
  • Dataforce does not offer information regarding its code of conduct. In our experience, customers need to know where and how their data is being generated and what practices the company follows for its workers.3
  • Having a diverse network of workers is essential for AI data server providers. Even though Dataforce has the 2nd largest crowd amongst its alternatives, it is significantly smaller than Clickworker’s. Here is a figure comparing the crowd sizes of Dataforce and its alternatives:

Figure 1. Crowd size comparison

A bar graph showing the crowd sized of Dataforce by TransPerfect and its alternatives. Clickworker has the largest with 6 million followed by Dataforce with 1.3 million. MTurk has the smallest of around half a million.

Alternatives’ analysis

This section offers a brief overview and evaluation of all the alternatives mentioned in this article. The assessment is based on data from B2B review platforms like G2, TrustRadius, and Capterra.

1. Clickworker

Here is a list of Clickworker’s data solutions:

  • AI training datasets are collected and generated by humans.
  • Audio and speech datasets in multiple languages.
  • Image & video datasets in different formats.
  • Text datasets
  • Data annotation services for different data types
  • Research/survey data collection
  • Reinforcement learning from human feedback (RLHF) services for AI training

2. Appen

Its offerings include (As mentioned on the website):

  • Data generation and collection
  • Data types include: image, video, text, audio, speech
  • Off-the-shelf-datasets
  • Data annotation
  • Data validation

3. Amazon Mechanical Turk (MTurk)

Here is a list of their offerings:

  • AI data generation and collection
  • Data labeling and annotation
  • Market research & surveys
  • Academic research
  • Other data services

Learn about Amazon Mechanical Turk’s alternatives here.

Transparency statement

AIMultiple serves numerous emerging tech companies, including the ones linked in this article.

If you need help finding a vendor or have any questions, feel free to contact us:

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
Özge is an industry analyst at AIMultiple focused on data loss prevention, device control and data classification.

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