Dataforce by TransPerfect Review and Top 3 Alternatives in 2024

Companies need to rely on AI data services and RLHF platforms to help them build language and technology solutions like generative AI, LLMs (large language models), or NLP (natural language processing). Dataforce by TransPerfect is one such service, in the AI data space, that is gaining momentum.

Our readers interested in Dataforce usually fall under the following 2 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 are businesses that 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.

This article offers an in-depth review of Dataforce by TransPerfect and also offers a comparison of Dataforce by its top 3 alternatives.

Top 3 Dataforce alternatives (for contributors)

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

Table 1. Alternatives comparison (for contributors)

* 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 publically available and verifiable data.
• Criteria for number of review:
  • Low: ≤ 50
  • Medium: 51- 999
  • High: ≥ 1000

Top 3 Dataforce alternatives (for customers)

This section compares the alternatives based on criteria that are useful for current or potential customers of Dataforce.

Table 2. Alternatives comparison (for customers)

* 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 publically 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 of the 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. We also used 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 that of its competitor. The customer also faced lagging issues with Dataforce’s platform.¹

• Another customer found Datafroce’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, it is important for customers to know where and how their data is being generated and what practices does 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, its crowd is significantly smaller than Clickworker. Here is a figure comparing the crowd sizes of Dataforce and its alternatives:

Figure 1. Crowd size comparison

Alternatives’ analysis

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

1. Clickworker

Founded in 2005 and based in Germany, Clickworker is a suitable alternative to Dataforce since it also offers various AI services and data solutions through a crowdsourcing platform. The company distributes its projects to its global network of over 6 million workers.

Here is a list of Clickworker’s data solutions:

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

Pros and cons of working with Clickworker:

• A positive review regarding Clickworkers AI training services.⁴

• A customer review regarding Clickworker’s data annotation services and its prices.⁵

2. Appen

Based in Australia, Appen is another good alternative to Dataforce and a popular name in the AI data service space. 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

Pros and cons of working with Appen:

• Despite its popularity, recent news has highlighted that Appen is losing customers and going through financial losses. This is not a good sign for its existing and future customers.⁶
• A customer review regarding Appen’s customer support, pricing, data quality, and platform.⁷

3. Amazon Mechanical Turk (MTurk)

A subsidiary of AWS, Amazon Mechanical Turk, or MTurk, is a global business and an alternative to Dataforce, offering AI services through a marketplace and a crowdsourcing model.

Here is a list of their offerings:

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

Pros and cons of working with Amazon Mechanical Turk

• MTurk has one of the smallest crowds amongst all Dataforce alternatives, this can limit MTurk from offering diverse datasets.
• Customers identified that most workers on MTurk’s platform are not fluent English speakers. This can cause difficulties for clients who require human-generated speech or text data in English.⁸

• While a customer found MTurk’s data collection service efficient, it also found the quality of its data to be low.⁹.

Learn about Amazon Mechanical Turk’s alternatives here.

Transparency statement

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

• Top 4 Data Collection Methods
• Crowdsourcing Platforms Comparison & Selection Guide
• Quick Guide to Datasets for Machine Learning

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

External resources

• 1. Customer review of Dataforce about data collection, customer support, prices, and lagging issues. G2. Accessed: 14/December/2023.
• 2. Customer review on Dataforce pricing. G2. Accessed: 14/December/2023.
• 3. Unethically generated AI training datasets. The Guardian. Accessed: 14/December/2023.
• 4. Clickworker customer review on reliability and easy-to-use platform. G2. Accessed: 14/December/2023.
• 5. Customer review regarding Clickworker’s data annotation services. G2. Accessed: 14/December/2023.
• 6. Hayden Field, (2023). Inside the turmoil at Appen, the former AI darling that’s reeling from executive exits, big losses. CNBC. Accessed: 14/December/2023.
• 7. Appen’s customer review with positive and negative comments. G2. Accessed: 14/December/2023.
• 8. A negative review about MTurk workers’ language ability. G2. Accessed: 14/December/2023.
• 9. Mturk customer review data collection. G2. Accessed: 14/December/2023.